{"as_of":"2026-08-08T21:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:455681ff4e64d05a2210aaebc2bcb8e7bf9c2421bd4894bd482c49af0d04209e","coverage":[{"denominator":13,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":13,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T18:58:36.274933Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T09:03:49.551408Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T10:09:45.468716Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2507.06825","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06825","snapshot_observed_at":"2026-07-04T10:09:45.468716Z","title":"Artificial generals intelligence: Mastering Generals.io with reinforcement learning,","venue":null,"work_id":"c3030e36-ad52-4313-ab57-760835b331cc","year":2025},"citing_paper":{"arxiv_id":"2606.23348","last_updated":"2026-06-22T13:52:22Z","snapshot_observed_at":"2026-08-06T20:38:41.495930Z","submitted_at":"2026-06-22T13:52:22Z","title":"Superhuman AI for Generals.io Using Self-Play Reinforcement Learning","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-06-26T09:03:49.551408Z"},"links":{"cited_paper":"/paper/2507.06825","citing_paper":"/paper/2606.23348"},"observation_digest":"sha256:50a0c3b6f0091da5ad4a73575bb2f9ab3905146648ae4a82399781a34b92d34d","observation_id":"207179dc-0493-4d02-bc9a-24312e655ea0","resolution":{"observed_at":"2026-07-04T10:09:45.470394Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06825/citation-record","integrity":"/paper/2507.06825/integrity","json":"/paper/2507.06825/citation-record.json","paper":"/paper/2507.06825"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:58:35.828689Z","title":"DOI: 10.1126/science.add4679","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.828689Z"},"links":{"citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:7e40fec4fa2f62bac1d986c4d6386881c15cf9ab0f1d2578f6d42b307fa63985","observation_id":"ef46e0cf-1cd8-4137-be7a-07167fa720fa","resolution":{"observed_at":"2026-08-06T18:58:35.828689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1506.02438","last_updated":"2018-10-20T18:55:07Z","snapshot_observed_at":"2026-08-08T15:29:26.223468Z","submitted_at":"2015-06-08T11:12:48Z","title":"High-Dimensional Continuous Control Using Generalized Advantage Estimation","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1506.02438","snapshot_observed_at":"2026-08-06T18:58:36.047665Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:36.047665Z"},"links":{"cited_paper":"/paper/1506.02438","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:7a0de7bbfdcd0af97538d06655fb8118fd2bd32db1cf05bdeb0c2f9584c4f260","observation_id":"a039ea8e-83f7-4d2b-8371-f9c217035b84","resolution":{"observed_at":"2026-08-06T18:58:36.047665Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.01815","last_updated":"2017-12-05T18:45:38Z","snapshot_observed_at":"2026-08-02T00:39:04.960144Z","submitted_at":"2017-12-05T18:45:38Z","title":"Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.01815","snapshot_observed_at":"2026-08-06T18:58:36.167097Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:36.167097Z"},"links":{"cited_paper":"/paper/1712.01815","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:cda6bc1423a4920122c7265d81266a1e16b4fad5f8671fe841d0f527e81eb5cb","observation_id":"22e431cc-f1da-48bd-92ef-a9c77a23ed9a","resolution":{"observed_at":"2026-08-06T18:58:36.167097Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17032","last_updated":"2025-11-02T13:42:19Z","snapshot_observed_at":"2026-07-06T18:51:06.750136Z","submitted_at":"2024-07-24T06:35:05Z","title":"Gymnasium: A Standard Interface for Reinforcement Learning Environments","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17032","snapshot_observed_at":"2026-08-06T18:58:36.274933Z","title":"org/abs/2407.17032","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:36.274933Z"},"links":{"cited_paper":"/paper/2407.17032","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:2a880e24fd531d4617933ae731acac491566195a2e71dfd1adad959be751e7b1","observation_id":"a372fc28-989a-457c-9e38-fef89537aef2","resolution":{"observed_at":"2026-08-06T18:58:36.274933Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1312.5602","last_updated":"2013-12-19T16:00:08Z","snapshot_observed_at":"2026-07-06T03:31:23.521122Z","submitted_at":"2013-12-19T16:00:08Z","title":"Playing Atari with Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1312.5602","snapshot_observed_at":"2026-08-06T18:58:35.668732Z","title":"Matej Morav ˇcík, Martin Schmid, Neil Burch, Viliam Lisý, Dustin Morrill, Nolan Bard, Trevor Davis, Kevin Waugh, Michael Johanson, and Michael Bowling","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.668732Z"},"links":{"cited_paper":"/paper/1312.5602","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:26489bf6192ef41a72566bbde7cad487302945a21ca8d6ff569564761ffaecb8","observation_id":"7c427846-21b7-4838-a3a7-18113d73178c","resolution":{"observed_at":"2026-08-06T18:58:35.668732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1707.06347","last_updated":"2017-08-28T09:20:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2017-07-20T02:32:33Z","title":"Proximal Policy Optimization Algorithms","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1707.06347","snapshot_observed_at":"2026-08-06T18:58:35.967093Z","title":"John Schulman, Philipp Moritz, Sergey Levine, Michael Jordan, and Pieter Abbeel","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.967093Z"},"links":{"cited_paper":"/paper/1707.06347","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:6422146f6f7f2ffff1dde6bc6678d2072d992eb09b1b456a46a426b87745e3ed","observation_id":"0b37b7cd-a053-433d-adf4-4edf8019c782","resolution":{"observed_at":"2026-08-06T18:58:35.967093Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:58:35.426812Z","title":"URL https://www.science.org/doi/abs/10.1126/science.aao1733","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.426812Z"},"links":{"citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:8737b07da9d3b989abf1a04da70684aaa55d9a22d7562d22d1076e318fd0f047","observation_id":"d358444f-1829-46fe-bfdd-8c046fee8cb1","resolution":{"observed_at":"2026-08-06T18:58:35.426812Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.04043","last_updated":"2019-12-09T07:26:52Z","snapshot_observed_at":"2026-07-06T07:32:24.974529Z","submitted_at":"2019-02-11T18:43:53Z","title":"The StarCraft Multi-Agent Challenge","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.04043","snapshot_observed_at":"2026-08-06T18:58:35.903637Z","title":"John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.903637Z"},"links":{"cited_paper":"/paper/1902.04043","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:6376523b81d253329001fdf4669d81004d27945457551942142a3e62074c9956","observation_id":"48c7d419-b193-43aa-9759-d9236b8224f5","resolution":{"observed_at":"2026-08-06T18:58:35.903637Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.07528","last_updated":"2020-02-11T00:56:50Z","snapshot_observed_at":"2026-08-06T20:46:20.413566Z","submitted_at":"2019-09-17T00:17:02Z","title":"Emergent Tool Use From Multi-Agent Autocurricula","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.07528","snapshot_observed_at":"2026-08-06T18:58:35.346628Z","title":"org/abs/1909.07528","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.346628Z"},"links":{"cited_paper":"/paper/1909.07528","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:af6bc33315e9a621ffe913686b0fb85aa34fb2b5a0b4266aebf6de9d4dc791cb","observation_id":"fb8bba73-23da-4cc2-a682-6b5c4435cbd6","resolution":{"observed_at":"2026-08-06T18:58:35.346628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2009.14471","last_updated":"2021-10-26T06:06:31Z","snapshot_observed_at":"2026-07-06T10:00:02.528060Z","submitted_at":"2020-09-30T06:42:09Z","title":"PettingZoo: Gym for Multi-Agent Reinforcement Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2009.14471","snapshot_observed_at":"2026-08-06T18:58:36.215433Z","title":"9 Mark Towers, Ariel Kwiatkowski, Jordan Terry, John U","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:36.215433Z"},"links":{"cited_paper":"/paper/2009.14471","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:644448deb63c0313b0677684007ef64ba57022115f24141779d06c364077ff0d","observation_id":"cf8c5ee7-4d58-4290-80b5-2233de730f1c","resolution":{"observed_at":"2026-08-06T18:58:36.215433Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:58:35.576764Z","title":"URL https://www.science.org/ doi/abs/10.1126/science.ade9097","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.576764Z"},"links":{"citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:1e80b4b395dfbc55821ab7efebe515807886de4329ada54b55c014a5f80c52a7","observation_id":"75d4f4f4-456e-466c-9c83-96490d39d35a","resolution":{"observed_at":"2026-08-06T18:58:35.576764Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.02081","last_updated":"2024-06-24T03:38:46Z","snapshot_observed_at":"2026-08-04T16:54:32.311544Z","submitted_at":"2024-06-04T08:04:23Z","title":"FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.02081","snapshot_observed_at":"2026-08-06T18:58:35.506929Z","title":"Meta Fundamental AI Research Diplomacy Team","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.506929Z"},"links":{"cited_paper":"/paper/2406.02081","citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:298a84e5716f792d0e9dd2e27595c52a37acc5edf73f37df83311232902f8065","observation_id":"7112ff02-0314-46cb-b8c2-f6052cbe6ec2","resolution":{"observed_at":"2026-08-06T18:58:35.506929Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T18:58:35.738434Z","title":"URL http://dx.doi.org/10.1126/science","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning","version":2},"reference_index":9203,"source":"pdf_text","source_observed_at":"2026-08-06T18:58:35.738434Z"},"links":{"citing_paper":"/paper/2507.06825"},"observation_digest":"sha256:c1ef272cde0f10441d102afe8fa635b750539d61e8458917a2707115f974a9ac","observation_id":"4f1509ca-ae19-4813-aa3f-40e84be9cc7a","resolution":{"observed_at":"2026-08-06T18:58:35.738434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.06825","last_updated":"2025-07-10T09:28:09Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T05:15:59.689599Z","submitted_at":"2025-07-09T13:15:05Z","title":"Artificial Generals Intelligence: Mastering Generals.io with Reinforcement Learning"},"reference_resolution":{"displayed":13,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":13,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":13},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"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."}