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Paper Citation Record · LEDGER

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning

As of 8 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 1 inbound Pith citation observation for arXiv:2507.06825.

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

pith.paper-citation-record.v1
2507.06825 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:58:36.274933Z

measured 14 of 14 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:03:49.551408Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T10:09:45.468716Z

Reference resolution

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef46e0cf-1cd8-4137-be7a-07167fa720fa · outbound

This paper cites DOI: 10.1126/science.add4679.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning DOI: 10.1126/science.add4679

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.828689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.828689Z digest=sha256:7e40fec4fa2f62bac1d986c4d6386881c15cf9ab0f1d2578f6d42b307fa63985

Observation a039ea8e-83f7-4d2b-8371-f9c217035b84 · outbound

This paper cites High-Dimensional Continuous Control Using Generalized Advantage Estimation.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning High-Dimensional Continuous Control Using Generalized Advantage Estimation

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:36.047665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:36.047665Z digest=sha256:7a0de7bbfdcd0af97538d06655fb8118fd2bd32db1cf05bdeb0c2f9584c4f260

Observation 22e431cc-f1da-48bd-92ef-a9c77a23ed9a · outbound

This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:36.167097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:36.167097Z digest=sha256:cda6bc1423a4920122c7265d81266a1e16b4fad5f8671fe841d0f527e81eb5cb

Observation a372fc28-989a-457c-9e38-fef89537aef2 · outbound

This paper cites Gymnasium: A Standard Interface for Reinforcement Learning Environments.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning Gymnasium: A Standard Interface for Reinforcement Learning Environments

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:36.274933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:36.274933Z digest=sha256:2a880e24fd531d4617933ae731acac491566195a2e71dfd1adad959be751e7b1

Observation 7c427846-21b7-4838-a3a7-18113d73178c · outbound

This paper cites Playing Atari with Deep Reinforcement Learning.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning Playing Atari with Deep Reinforcement Learning

Reference 2013

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.668732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.668732Z digest=sha256:26489bf6192ef41a72566bbde7cad487302945a21ca8d6ff569564761ffaecb8

Observation 0b37b7cd-a053-433d-adf4-4edf8019c782 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.967093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.967093Z digest=sha256:6422146f6f7f2ffff1dde6bc6678d2072d992eb09b1b456a46a426b87745e3ed

Observation d358444f-1829-46fe-bfdd-8c046fee8cb1 · outbound

This paper cites URL https://www.science.org/doi/abs/10.1126/science.aao1733.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning URL https://www.science.org/doi/abs/10.1126/science.aao1733

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.426812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.426812Z digest=sha256:8737b07da9d3b989abf1a04da70684aaa55d9a22d7562d22d1076e318fd0f047

Observation 48c7d419-b193-43aa-9759-d9236b8224f5 · outbound

This paper cites The StarCraft Multi-Agent Challenge.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning The StarCraft Multi-Agent Challenge

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.903637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.903637Z digest=sha256:6376523b81d253329001fdf4669d81004d27945457551942142a3e62074c9956

Observation fb8bba73-23da-4cc2-a682-6b5c4435cbd6 · outbound

This paper cites Emergent Tool Use From Multi-Agent Autocurricula.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning Emergent Tool Use From Multi-Agent Autocurricula

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.346628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.346628Z digest=sha256:af6bc33315e9a621ffe913686b0fb85aa34fb2b5a0b4266aebf6de9d4dc791cb

Observation cf8c5ee7-4d58-4290-80b5-2233de730f1c · outbound

This paper cites PettingZoo: Gym for Multi-Agent Reinforcement Learning.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning PettingZoo: Gym for Multi-Agent Reinforcement Learning

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:36.215433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:36.215433Z digest=sha256:644448deb63c0313b0677684007ef64ba57022115f24141779d06c364077ff0d

Observation 75d4f4f4-456e-466c-9c83-96490d39d35a · outbound

This paper cites URL https://www.science.org/ doi/abs/10.1126/science.ade9097.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning URL https://www.science.org/ doi/abs/10.1126/science.ade9097

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.576764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.576764Z digest=sha256:1e80b4b395dfbc55821ab7efebe515807886de4329ada54b55c014a5f80c52a7

Observation 7112ff02-0314-46cb-b8c2-f6052cbe6ec2 · outbound

This paper cites FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.506929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.506929Z digest=sha256:298a84e5716f792d0e9dd2e27595c52a37acc5edf73f37df83311232902f8065

Observation 4f1509ca-ae19-4813-aa3f-40e84be9cc7a · outbound

This paper cites URL http://dx.doi.org/10.1126/science.

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning URL http://dx.doi.org/10.1126/science

Reference 9203

Resolution
unresolved
no resolver link, observed 2026-08-06T18:58:35.738434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:58:35.738434Z digest=sha256:c1ef272cde0f10441d102afe8fa635b750539d61e8458917a2707115f974a9ac

Pith citing papers

Observation 207179dc-0493-4d02-bc9a-24312e655ea0 · inbound

Superhuman AI for Generals.io Using Self-Play Reinforcement Learning cites this paper.

Superhuman AI for Generals.io Using Self-Play Reinforcement Learning Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:45.470394Z

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=2026-06-26T09:03:49.551408Z digest=sha256:50a0c3b6f0091da5ad4a73575bb2f9ab3905146648ae4a82399781a34b92d34d