{"as_of":"2026-08-08T21:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:35864e74dfbef1723451ab6ddd8d53046c5b777704b631408a6d3b96e78f6b6b","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-04T23:58:46.937553Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2509.06235/citation-record","integrity":"/paper/2509.06235/integrity","json":"/paper/2509.06235/citation-record.json","paper":"/paper/2509.06235"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.03903","last_updated":"2025-04-28T20:21:54Z","snapshot_observed_at":"2026-08-03T22:05:44.738329Z","submitted_at":"2023-10-05T21:18:15Z","title":"LLM-Coordination: Evaluating and Analyzing Multi-agent Coordination Abilities in Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.03903","snapshot_observed_at":"2026-08-04T23:58:44.296336Z","title":"Llm-coordination: evaluating and analyz- ing multi-agent coordination abilities in large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.296336Z"},"links":{"cited_paper":"/paper/2310.03903","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:624e3b53e81a63915ad78ed67368d9f7850e4055f9ba5e9c4f2b1606a5be6aab","observation_id":"ff296a67-bf30-4892-af19-249b7a649d7b","resolution":{"observed_at":"2026-08-04T23:58:44.296336Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2206.11795","last_updated":"2022-06-23T16:01:11Z","snapshot_observed_at":"2026-07-06T13:24:02.173160Z","submitted_at":"2022-06-23T16:01:11Z","title":"Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2206.11795","snapshot_observed_at":"2026-08-04T23:58:44.340988Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.340988Z"},"links":{"cited_paper":"/paper/2206.11795","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:cbad840ec236941cf016498a8ef99d2e7e471d2c59241080487ea9978be21454","observation_id":"49b175a3-22db-4fad-a340-e10665f6aa08","resolution":{"observed_at":"2026-08-04T23:58:44.340988Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:49.646458Z","title":"AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors","venue":null,"work_id":"e225c89c-67e9-4f13-93ee-95ba8224c063","year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.407214Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:a8663c8981071373f4931d8b547765fc207ed0f1e4eeadfe24a05d5d71c7f335","observation_id":"8f6a51be-1308-4a97-88a3-f2193560d9dc","resolution":{"observed_at":"2026-08-04T23:58:49.717099Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2406.05720","last_updated":"2024-06-09T10:21:47Z","snapshot_observed_at":"2026-08-07T05:10:09.906134Z","submitted_at":"2024-06-09T10:21:47Z","title":"VillagerAgent: A Graph-Based Multi-Agent Framework for Coordinating Complex Task Dependencies in Minecraft","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.05720","snapshot_observed_at":"2026-08-04T23:58:44.480299Z","title":"VillagerAgent: A Graph-Based Multi- Agent Framework for Coordinating Complex Task De- pendencies in Minecraft","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.480299Z"},"links":{"cited_paper":"/paper/2406.05720","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:ebefb7bb34646e99395d60f5623be54c51079e5546738cb8bcb4e43bb9bb01d4","observation_id":"21a04298-08a1-465e-95a2-4eafba77728c","resolution":{"observed_at":"2026-08-04T23:58:44.480299Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:49.504368Z","title":"Interven- tions and causal inference","venue":null,"work_id":"6a487a25-155f-4555-9c25-35c8206d4128","year":2007},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.590094Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:8b048464ace970e11fc84b2216cd2f61cd476e929db476e56f5fc40c01310f5d","observation_id":"227d0347-7349-4b51-b282-fd426af8dc68","resolution":{"observed_at":"2026-08-04T23:58:49.575478Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"1907.13440","last_updated":"2019-07-29T18:10:30Z","snapshot_observed_at":"2026-07-06T08:11:28.806130Z","submitted_at":"2019-07-29T18:10:30Z","title":"MineRL: A Large-Scale Dataset of Minecraft Demonstrations","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.13440","snapshot_observed_at":"2026-08-04T23:58:44.754173Z","title":"Guss, Brandon Houghton, Nicholay Topin, Phillip Wang, Cayden Codel, Manuela Veloso, and Ruslan Salakhutdinov.MineRL: A Large-Scale Dataset of Minecraft Demonstrations","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.754173Z"},"links":{"cited_paper":"/paper/1907.13440","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:345d30bda6c39b5269bf26024e5db79de555134c72f0e67de0a483e4a85d2599","observation_id":"8fea6ddd-2836-4aa9-aa4f-fdf6c8bf2207","resolution":{"observed_at":"2026-08-04T23:58:44.754173Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.00352","last_updated":"2024-11-01T14:36:52Z","snapshot_observed_at":"2026-07-06T16:01:07.532053Z","submitted_at":"2023-08-01T07:49:10Z","title":"MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.00352","snapshot_observed_at":"2026-08-04T23:58:44.823396Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.823396Z"},"links":{"cited_paper":"/paper/2308.00352","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:6ff41b7033ed921f2a555fac8a4bc4fb2612f5e736876ea724c82091ab54856d","observation_id":"de95125a-16bd-42c2-8836-fa468562e71d","resolution":{"observed_at":"2026-08-04T23:58:44.823396Z","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":"2026-08-04T23:58:44.926494Z","title":"FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:44.926494Z"},"links":{"cited_paper":"/paper/2406.02081","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:4a25fabb2b0325edf455d6d0d47664dcd0c7896ccf42b24907949bb6f19eff2d","observation_id":"980b4196-b9ca-4a6f-98d2-893136c763b3","resolution":{"observed_at":"2026-08-04T23:58:44.926494Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:49.347624Z","title":"Docker: lightweight linux containers for consistent development and deployment","venue":null,"work_id":"8e638cae-0485-4254-a352-f2bf5069579f","year":2014},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.044992Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:69aea2ce03b700caf3def8bf78462131eb198b52aaa7b3040de636454ff89d83","observation_id":"848c5108-ded8-48a5-aae6-0cec99177f7a","resolution":{"observed_at":"2026-08-04T23:58:49.424577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2301.12050","last_updated":"2023-04-27T15:14:01Z","snapshot_observed_at":"2026-07-06T14:45:29.763181Z","submitted_at":"2023-01-28T02:04:07Z","title":"Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2301.12050","snapshot_observed_at":"2026-08-04T23:58:45.074513Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.074513Z"},"links":{"cited_paper":"/paper/2301.12050","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:d36cd3abd350b4d4c66aa823405eac2a56d650a9f74eb75a95f5a563072fe8a8","observation_id":"2fae62b6-df17-45b9-b6a6-896734d9c8fa","resolution":{"observed_at":"2026-08-04T23:58:45.074513Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:49.192722Z","title":"2024.URL: https://openai.com/ index/hello-gpt-4o/","venue":null,"work_id":"829eeb82-77ed-498d-9879-d505f9b62c1d","year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.179780Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:a1c2e719643ae4eb19b427acc0ed7d26b7a47c082f6a81a866c909b9efe88930","observation_id":"f21f573d-dd48-483a-95d2-23fae5514998","resolution":{"observed_at":"2026-08-04T23:58:49.264357Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:49.058113Z","title":"2025.URL: https : / / openrouter.ai/","venue":null,"work_id":"8c23d310-313e-4e3c-90a1-60ba603cf91f","year":2025},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.314201Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:402196ebf8fe2e7d88b13a876da9a5a61cf8d2c812767f1fcb1ce67a2609366b","observation_id":"88862440-3891-4a75-a983-55d6a114938c","resolution":{"observed_at":"2026-08-04T23:58:49.128266Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.939284Z","title":"Emerald Group Pub- lishing, 2013","venue":null,"work_id":"bf690993-8e1f-429b-88e8-7ae8f2a15f38","year":2013},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.442686Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:0e90a1775973e27fad875664650f48db7656f3daaa34b1289c63752cd9461064","observation_id":"777ed04e-9061-4ead-bf77-6c1466ee8a7f","resolution":{"observed_at":"2026-08-04T23:58:48.990994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.773946Z","title":"The MIT Press, 2017","venue":null,"work_id":"f978049d-d6a4-4e8b-a601-7e48e5c5e66a","year":2017},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.550328Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:bf8adf2dc197c728b163d947aeff2313eefb922f445d89a8352caa823abd18cd","observation_id":"3e1f81fd-b46d-4a54-acdc-697bdbf6c216","resolution":{"observed_at":"2026-08-04T23:58:48.847561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.665102Z","title":"com / PrismarineJS/mineflayer","venue":null,"work_id":"b079c8c7-3350-481a-a695-31deb16d4d6e","year":2013},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.653322Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:f999073b922f5116456724c8184db660f6b8c8a8c5e2941a2e6b30c2e28eb727","observation_id":"2e6c9d13-12bf-4ba7-a809-262286c9ad2b","resolution":{"observed_at":"2026-08-04T23:58:48.693990Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"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":"2026-08-04T23:58:45.783516Z","title":"The StarCraft Multi-Agent Challenge","venue":null,"work_id":null,"year":1902},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.783516Z"},"links":{"cited_paper":"/paper/1902.04043","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:b279e884fa6256d4687e14b9dac20742ad422284114cfb9e98723e65264acb70","observation_id":"dae82299-ddee-404e-9759-ccb29770d2fb","resolution":{"observed_at":"2026-08-04T23:58:45.783516Z","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":"2026-08-04T23:58:45.846492Z","title":"Causation, prediction, and search","venue":null,"work_id":null,"year":2001},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.846492Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:d05a271d3438db58128f0b8499f65c3691f02248e998b16f46d88b51b1d16148","observation_id":"eac05ed5-413a-4126-8659-f74122df05e7","resolution":{"observed_at":"2026-08-04T23:58:45.846492Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.511989Z","title":"2023.URL: https: //kaggle.com/competitions/lux-ai-season-2","venue":null,"work_id":"54c8e0d5-cccc-4a13-b1e9-e9c051b9fe50","year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:45.943989Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:63b554721213901beac92f4278a1a2654a7eb92909e0a869077a2ca3180ba790","observation_id":"4abb9ec4-1612-4eeb-9116-b7fb8b0c1a99","resolution":{"observed_at":"2026-08-04T23:58:48.585909Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.332798Z","title":null,"venue":null,"work_id":"f79e651f-80d4-462f-a19c-ee75fd2cf246","year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.025881Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:d9d12c249b0520935044303cb3c702322e7e44a141e94ea4e5d75d1903d840b4","observation_id":"8cc6f72e-3c62-418c-9757-162e7ea84acb","resolution":{"observed_at":"2026-08-04T23:58:48.415469Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.186089Z","title":"A survey on large language model based autonomous agents","venue":null,"work_id":"821506fc-b72f-4983-a0bb-dc6047f602b2","year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.142217Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:e42681620ff139fdb51b77b3bcdafa2b2691c292cc1dfb44598fd62d5a5d9edd","observation_id":"8824f341-d8bb-40e7-8038-3c8826460156","resolution":{"observed_at":"2026-08-04T23:58:48.238887Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:48.019034Z","title":null,"venue":null,"work_id":"56b9ef97-2010-494d-8d2e-1f33a9cc4db5","year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.232921Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:2dd9df23305f8caba938f9fba7d92672665fd1c89e800c02a47f5b9a722e7b68","observation_id":"ca8223b2-cd68-41a1-963a-e8b05ebeea03","resolution":{"observed_at":"2026-08-04T23:58:48.091545Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2309.07864","last_updated":"2023-09-19T08:29:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-09-14T17:12:03Z","title":"The Rise and Potential of Large Language Model Based Agents: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.07864","snapshot_observed_at":"2026-08-04T23:58:46.328037Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.328037Z"},"links":{"cited_paper":"/paper/2309.07864","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:20046cbd6a2cf2f5106d6356a35f98a0c4898becd91fb5b2bff24aa4307ba817","observation_id":"eb02affd-d5bb-4613-9ba7-156f55015d1f","resolution":{"observed_at":"2026-08-04T23:58:46.328037Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:47.862456Z","title":null,"venue":null,"work_id":"7d5d19e2-57e7-46f2-b4e5-7c2906c3bd92","year":2019},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.399055Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:0546400fa1c5d2f68160cccfdcf61a6a402b6f912f1e7996ccc5bfe2483cbfcb","observation_id":"aa731b86-b637-4268-a240-dcc74da01110","resolution":{"observed_at":"2026-08-04T23:58:47.927521Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:47.637149Z","title":"Mitigating Generative Agent Social Dilem- mas","venue":null,"work_id":"208e19f3-1408-4969-8703-5a4289d8cff0","year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.498481Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:152548b1388c57ad4809025d2413676c95bce3a22cc6db44ae28503fab8436cc","observation_id":"c73d5268-be8b-44ac-84c2-4d1c783b9c2e","resolution":{"observed_at":"2026-08-04T23:58:47.728032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"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"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:47.419258Z","title":null,"venue":null,"work_id":"9a8e9729-9186-4b9c-bc8d-c84b332407ae","year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.594070Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:c0618b50d9dff8043adf13cd2e7f80744a818bd8b2309e8d2e6feecb2ae36fb7","observation_id":"91fef1c9-6005-4294-94ef-d5d36e4d6498","resolution":{"observed_at":"2026-08-04T23:58:47.536710Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19267","last_updated":"2024-05-23T14:27:15Z","snapshot_observed_at":"2026-07-06T17:52:26.380307Z","submitted_at":"2024-03-28T09:53:41Z","title":"MineLand: Simulating Large-Scale Multi-Agent Interactions with Limited Multimodal Senses and Physical Needs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19267","snapshot_observed_at":"2026-08-04T23:58:46.696661Z","title":"MineLand: Simulating Large-Scale Multi-Agent Inter- actions with Limited Multimodal Senses and Physical Needs","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.696661Z"},"links":{"cited_paper":"/paper/2403.19267","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:644c29707ade32ea25d5e446e080587c433cc1cab3dd49896ec4c3ac29d72524","observation_id":"57125929-4532-467f-8f5b-ed0ff44b9204","resolution":{"observed_at":"2026-08-04T23:58:46.696661Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.18223","last_updated":"2026-03-18T05:34:39Z","snapshot_observed_at":"2026-08-06T23:27:24.356320Z","submitted_at":"2023-03-31T17:28:46Z","title":"A Survey of Large Language Models","version":19},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.18223","snapshot_observed_at":"2026-08-04T23:58:46.771047Z","title":"A sur- vey of large language models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.771047Z"},"links":{"cited_paper":"/paper/2303.18223","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:f234468d392554f48658bbb9187ad5ae796a79c503936d3f3c94330fb3015df7","observation_id":"c33e0797-b7de-45b0-b773-d9aa541b9faf","resolution":{"observed_at":"2026-08-04T23:58:46.771047Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-04T23:58:47.263019Z","title":null,"venue":null,"work_id":"66c15eb2-7a2e-46a9-898d-d9f890275045","year":null},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.855928Z"},"links":{"citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:86b1ad5605e6cf904751495851dda5f730866d87fa7aaf2b8ef6688592026544","observation_id":"1e2fc976-c484-49a1-ba09-2ff0e43076f8","resolution":{"observed_at":"2026-08-04T23:58:47.340478Z","resolver_source":"raw_fallback","status":"unresolved"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2305.17144","last_updated":"2023-06-01T09:18:01Z","snapshot_observed_at":"2026-07-06T15:34:05.442952Z","submitted_at":"2023-05-25T17:59:49Z","title":"Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.17144","snapshot_observed_at":"2026-08-04T23:58:46.937553Z","title":"slime_block\\","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-04T23:58:46.937553Z"},"links":{"cited_paper":"/paper/2305.17144","citing_paper":"/paper/2509.06235"},"observation_digest":"sha256:88ec881ed4af5e1d8b9bac48e92ce0b53ad1ae65e833f2edb1ee54c60e07b6b1","observation_id":"4f20516d-9e43-4d6c-b857-5db1776cf221","resolution":{"observed_at":"2026-08-04T23:58:46.937553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2509.06235","last_updated":"2025-09-07T22:51:12Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T23:58:41.914448Z","submitted_at":"2025-09-07T22:51:12Z","title":"PillagerBench: Benchmarking LLM-Based Agents in Competitive Minecraft Team Environments"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":29},"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 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2509.06235."}