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Paper Citation Record · LEDGER

Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning

As of 18 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 2026-08-18T06:34:40.430872+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:b38b5553bf85a1ec68f2d7053762d5f64012a3b9388d7a56a224e16562272b7b

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=sha256:2af260ac2a515f6415d83fee47160756330ea504117eca231e5b144ca12609d0

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=sha256:9df5a4c8c014fcef66ba32791197cec10c1afaeaf9a9d6ba9f55a71127500617

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=sha256:84034ba3cbf599c9a5ad3f4ba66ed67cba333d335190f4f7055bd6a5e79fbcac

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=sha256:30203a3c772f5c8aafb0f7d8d2c3e4439c92bffb0d52f294bb8dc04287d861ab

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=sha256:2e678a404ee1da5f61358540405c5079a7afbf99214ba37abf594b851c1b973e

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:fa9895e29ca4ab80c6d689db9dae03055833bd24a9b232b9cc349ac90b0a96d0

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=sha256:5b3de4726fb83554be569b0cd427244781c358834f07770a600403c04a652516

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=sha256:44f6ea2888fb736a147b91d58163bf4b3918e834965455e16bf7211548373a93

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=sha256:5dfcc3fbf63c4de4387863e6a7c88d28a0c4c726b02b2f9d6fb26701a1db183b

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=sha256:6d2063a67859f2bee07b7694b702162bf28779da6207aa539fe19bd26afb795e

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=sha256:476324e70739f20c37c779527df9fa298ea13d356585ac0929f02d8857342f69

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=sha256:83d320e04cf807b2315e25bdcde132f1dd7f719a89f3077b7695082d1e0deccb

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-06-26T09:03:49.551408Z digest=sha256:14d031e23336e11fda2b5df9e88a062dd152cfd1b2090eb32660b7098a69fe85