{"as_of":"2026-08-05T01:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:742c2ce6c62cbd4b3171f63bc4be07a7d241d601608f0965b3a3feaab8d7ca35","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-26T20:22:03.938518Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-04T01:29:22.361097Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","version":1},"cited_work":{"arxiv_id":"1807.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01281","snapshot_observed_at":"2026-07-04T01:29:22.361097Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","venue":"cs.LG","work_id":"6838a932-4721-4b62-8153-ed189ba281be","year":2018},"citing_paper":{"arxiv_id":"1906.12213","last_updated":"2019-06-27T09:26:22Z","snapshot_observed_at":"2026-08-01T03:34:30.364434Z","submitted_at":"2019-06-27T09:26:22Z","title":"On the notion of number in humans and machines","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-25T15:00:17.763409Z"},"links":{"cited_paper":"/paper/1807.01281","citing_paper":"/paper/1906.12213"},"observation_digest":"sha256:e24a4fe6576f78e9e8075673bb7bbd652a502a67af9295cbdae5cb10e97e9ad0","observation_id":"3bd05ed0-38a9-4f06-9e6b-32cbaa6a1827","resolution":{"observed_at":"2026-05-25T15:00:57.445188Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","version":1},"cited_work":{"arxiv_id":"1807.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01281","snapshot_observed_at":"2026-07-04T01:29:22.361097Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","venue":"cs.LG","work_id":"6838a932-4721-4b62-8153-ed189ba281be","year":2018},"citing_paper":{"arxiv_id":"1907.01297","last_updated":"2019-07-02T11:09:04Z","snapshot_observed_at":"2026-08-01T18:57:37.316595Z","submitted_at":"2019-07-02T11:09:04Z","title":"Neural Network Verification for the Masses (of AI graduates)","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-25T11:23:56.153059Z"},"links":{"cited_paper":"/paper/1807.01281","citing_paper":"/paper/1907.01297"},"observation_digest":"sha256:51945c078312b5d3df32f2d68b5c8d0e6248091a777a40f9100e29aae9be4a19","observation_id":"58115374-c171-405f-8e6c-5ab6fed567fe","resolution":{"observed_at":"2026-05-25T11:25:42.156643Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","version":1},"cited_work":{"arxiv_id":"1807.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01281","snapshot_observed_at":"2026-07-04T01:29:22.361097Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","venue":"cs.LG","work_id":"6838a932-4721-4b62-8153-ed189ba281be","year":2018},"citing_paper":{"arxiv_id":"1907.09467","last_updated":"2019-07-20T05:13:53Z","snapshot_observed_at":"2026-07-06T08:09:23.168454Z","submitted_at":"2019-07-20T05:13:53Z","title":"Arena: a toolkit for Multi-Agent Reinforcement Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T18:35:31.633881Z"},"links":{"cited_paper":"/paper/1807.01281","citing_paper":"/paper/1907.09467"},"observation_digest":"sha256:c3fd70005418db76dc03d760c95f3fc298cbd981d82ec10f982f726d8a73ca57","observation_id":"8f240c17-7c18-4a48-83fb-a598a4979438","resolution":{"observed_at":"2026-05-24T18:36:19.055500Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","version":1},"cited_work":{"arxiv_id":"1807.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01281","snapshot_observed_at":"2026-07-04T01:29:22.361097Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","venue":"cs.LG","work_id":"6838a932-4721-4b62-8153-ed189ba281be","year":2018},"citing_paper":{"arxiv_id":"1912.06680","last_updated":"2019-12-13T19:56:40Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2019-12-13T19:56:40Z","title":"Dota 2 with Large Scale Deep Reinforcement Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-12T22:18:15.591361Z"},"links":{"cited_paper":"/paper/1807.01281","citing_paper":"/paper/1912.06680"},"observation_digest":"sha256:9fc8aff706a0508349be00d15556e79d8321c559c4564b6093727a36e6724240","observation_id":"6091da77-36a0-4fef-aa6b-11f8ca234899","resolution":{"observed_at":"2026-05-12T22:18:15.804673Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","version":1},"cited_work":{"arxiv_id":"1807.01281","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.01281","snapshot_observed_at":"2026-07-04T01:29:22.361097Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning","venue":"cs.LG","work_id":"6838a932-4721-4b62-8153-ed189ba281be","year":2018},"citing_paper":{"arxiv_id":"2606.19641","last_updated":"2026-06-19T17:53:33Z","snapshot_observed_at":"2026-08-02T19:40:05.899913Z","submitted_at":"2026-06-17T22:39:11Z","title":"Scaling Self-Play for End-to-End Driving","version":2},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-06-26T20:22:03.938518Z"},"links":{"cited_paper":"/paper/1807.01281","citing_paper":"/paper/2606.19641"},"observation_digest":"sha256:d09c615209bf3b17d6aa2cb6bf182c501f01789fa067b125162b5ee2028b1ecc","observation_id":"d91981fe-2ca5-4c8d-b97a-0729fd598eb8","resolution":{"observed_at":"2026-07-04T01:29:22.362634Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1807.01281/citation-record","integrity":"/paper/1807.01281/integrity","json":"/paper/1807.01281/citation-record.json","paper":"/paper/1807.01281"},"outbound":[],"paper":{"arxiv_id":"1807.01281","last_updated":"2018-07-03T16:57:18Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T01:00:10.564570Z","submitted_at":"2018-07-03T16:57:18Z","title":"Human-level performance in first-person multiplayer games with population-based deep reinforcement learning"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1807.01281."}