{"as_of":"2026-08-08T11:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dc2a2d3af8996fdec123260b1af7ff03417e0fdb08e8ac4d675f700d6303524e","coverage":[{"denominator":8,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T11:34:15.008621Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-31T21:55:17.509478Z","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":"2026-07-04T00:39:17.250711Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"cited_work":{"arxiv_id":"2601.05899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.05899","snapshot_observed_at":"2026-07-04T00:39:17.250711Z","title":"Towermind: A tower defence game learning environment and benchmark for llm as agents","venue":"cs.AI","work_id":"791c8571-edbd-4514-abbc-e94c36988b02","year":2026},"citing_paper":{"arxiv_id":"2605.09965","last_updated":"2026-05-12T15:54:46Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T04:16:41Z","title":"Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse","version":1},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-05-12T03:25:24.844859Z"},"links":{"cited_paper":"/paper/2601.05899","citing_paper":"/paper/2605.09965"},"observation_digest":"sha256:c7485634e43a2a6684d79693c761e4c80fd2798285df408f697f6934756b4a8f","observation_id":"5c5eaf16-2180-4fe0-a4f5-44a045f7921f","resolution":{"observed_at":"2026-05-27T03:06:04.774353Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"cited_work":{"arxiv_id":"2601.05899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.05899","snapshot_observed_at":"2026-07-04T00:39:17.250711Z","title":"Towermind: A tower defence game learning environment and benchmark for llm as agents","venue":"cs.AI","work_id":"791c8571-edbd-4514-abbc-e94c36988b02","year":2026},"citing_paper":{"arxiv_id":"2605.09965","last_updated":"2026-05-12T15:54:46Z","snapshot_observed_at":"2026-07-06T23:21:59.096464Z","submitted_at":"2026-05-11T04:16:41Z","title":"Towards Generalist Game Players: An Investigation of Foundation Models in the Game Multiverse","version":2},"reference_index":173,"source":"pdf_text","source_observed_at":"2026-05-13T06:44:28.552513Z"},"links":{"cited_paper":"/paper/2601.05899","citing_paper":"/paper/2605.09965"},"observation_digest":"sha256:2012741548ae6e4d0c7267faac9992ddf316201064bd5255cc20aeab0a36b9de","observation_id":"95fcea6e-3297-4d41-bdf3-c464ae063ee2","resolution":{"observed_at":"2026-05-27T03:06:04.774353Z","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"}},{"citation":{"cited_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"cited_work":{"arxiv_id":"2601.05899","doi":null,"metadata_source":"pith","pith_arxiv_id":"2601.05899","snapshot_observed_at":"2026-07-04T00:39:17.250711Z","title":"Towermind: A tower defence game learning environment and benchmark for llm as agents","venue":"cs.AI","work_id":"791c8571-edbd-4514-abbc-e94c36988b02","year":2026},"citing_paper":{"arxiv_id":"2606.18950","last_updated":"2026-06-18T08:25:27Z","snapshot_observed_at":"2026-08-07T06:04:46.021695Z","submitted_at":"2026-06-17T11:32:51Z","title":"RTSGameBench: An RTS Benchmark for Strategic Reasoning by Vision-Language Models","version":2},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-06-26T21:02:26.081166Z"},"links":{"cited_paper":"/paper/2601.05899","citing_paper":"/paper/2606.18950"},"observation_digest":"sha256:7b713b361883f8df440259b5416eb4f98aa3f9a33980e1848893370e0414d501","observation_id":"cf1c4d91-da6b-4afb-a2bd-275e7c4f1677","resolution":{"observed_at":"2026-07-04T00:39:17.253166Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"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":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.05899","snapshot_observed_at":"2026-07-31T21:55:17.509478Z","title":"arXiv preprint arXiv:2601.05899 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.27967","last_updated":"2026-07-30T10:14:24Z","snapshot_observed_at":"2026-08-05T12:14:09.489312Z","submitted_at":"2026-07-30T10:14:24Z","title":"MARS-RA: Rank Aggregation for Credit Assignment via Multimodal Comparisons in Embodied Multi-Agent Cooperation","version":1},"reference_index":116,"source":"arxiv_source","source_observed_at":"2026-07-31T21:55:17.509478Z"},"links":{"cited_paper":"/paper/2601.05899","citing_paper":"/paper/2607.27967"},"observation_digest":"sha256:b8c2baa36c962d7a51dc9071bdc3399d52d70ecb3b039186240f8bbd0a91a887","observation_id":"402c0434-bb86-450c-abd7-4ab2ffa046ca","resolution":{"observed_at":"2026-07-31T21:55:17.509478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2601.05899/citation-record","integrity":"/paper/2601.05899/integrity","json":"/paper/2601.05899/citation-record.json","paper":"/paper/2601.05899"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.05348","last_updated":"2025-05-02T07:20:36Z","snapshot_observed_at":"2026-08-07T15:45:18.538913Z","submitted_at":"2024-11-08T06:04:22Z","title":"LLM-PySC2: Starcraft II learning environment for Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.05348","snapshot_observed_at":"2026-08-03T11:34:14.990826Z","title":"Liang, E.; Liaw, R.; Nishihara, R.; Moritz, P.; Fox, R.; Gold- berg, K.; Gonzalez, J","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.990826Z"},"links":{"cited_paper":"/paper/2411.05348","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:71f3af40afeceaec81c4f54873df22ceac9b4137e11694ee7f7316757596cfef","observation_id":"8f6f6950-e7e3-415d-ab1b-4dc4a342eda8","resolution":{"observed_at":"2026-08-03T11:34:14.990826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.03277","last_updated":"2023-04-06T17:58:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-06T17:58:09Z","title":"Instruction Tuning with GPT-4","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.03277","snapshot_observed_at":"2026-08-03T11:34:14.999477Z","title":"Renze, M.; and Guven, E","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.999477Z"},"links":{"cited_paper":"/paper/2304.03277","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:69870582747567f88f8e309d312a33a6878e8d64933532328365eff20acca5cf","observation_id":"d52522e1-52ef-42df-9819-876a01105c92","resolution":{"observed_at":"2026-08-03T11:34:14.999477Z","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":"2026-08-03T11:34:15.004871Z","title":"InInternational Multi- Conference on Artificial Intelligence Technology, 135–146","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2013,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:15.004871Z"},"links":{"citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:c83d028743d1ae308d44c578d9e0eb7f26171d08da3471f71f80017885c3c016","observation_id":"70bd269b-f062-4edf-893c-b68dcac6c7d5","resolution":{"observed_at":"2026-08-03T11:34:15.004871Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1708.04782","last_updated":"2017-08-16T06:20:52Z","snapshot_observed_at":"2026-07-06T05:55:27.598127Z","submitted_at":"2017-08-16T06:20:52Z","title":"StarCraft II: A New Challenge for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1708.04782","snapshot_observed_at":"2026-08-03T11:34:15.008621Z","title":"Towers\": 2[ 3{","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:15.008621Z"},"links":{"cited_paper":"/paper/1708.04782","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:f9516c3903f51c04ba65bb6a9f292b680aa69235e0ae7b5275724ea4c847bd7e","observation_id":"97f471f9-1bc0-4763-a86e-55caebe366d5","resolution":{"observed_at":"2026-08-03T11:34:15.008621Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.02627","last_updated":"2020-05-06T17:59:11Z","snapshot_observed_at":"2026-08-08T05:36:49.312180Z","submitted_at":"2018-09-07T18:13:25Z","title":"Unity: A General Platform for Intelligent Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.02627","snapshot_observed_at":"2026-08-03T11:34:14.986806Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.986806Z"},"links":{"cited_paper":"/paper/1809.02627","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:149c8469f60085b870c1c2ab828f542b56a9a170a6da8907d9e50ccb1b457ea4","observation_id":"09bbe44e-4f68-4fb4-bd3c-98ac0a86062b","resolution":{"observed_at":"2026-08-03T11:34:14.986806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.03688","last_updated":"2025-10-04T03:54:18Z","snapshot_observed_at":"2026-08-06T20:36:41.418114Z","submitted_at":"2023-08-07T16:08:11Z","title":"AgentBench: Evaluating LLMs as Agents","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.03688","snapshot_observed_at":"2026-08-03T11:34:14.995038Z","title":"InProceedings of the 14th International Conference on the Foundations of Digital Games, 1–9","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.995038Z"},"links":{"cited_paper":"/paper/2308.03688","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:2c11297ebaf3133f8cee1f1f5718d90ce8c47dd6f96e25124382ec7d4cf94f78","observation_id":"5222ddac-9008-4acf-bcff-2fc69fa4c878","resolution":{"observed_at":"2026-08-03T11:34:14.995038Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.14262","last_updated":"2023-12-21T19:23:23Z","snapshot_observed_at":"2026-07-06T17:06:50.350562Z","submitted_at":"2023-12-21T19:23:23Z","title":"Exploring the intersection of Generative AI and Software Development","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.14262","snapshot_observed_at":"2026-08-03T11:34:14.977472Z","title":"C ¸ elen, A.; Han, G.; Schindler, K.; Van Gool, L.; Armeni, I.; Obukhov, A.; and Wang, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.977472Z"},"links":{"cited_paper":"/paper/2312.14262","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:d627bd0c4f8c3416342c896e0ac08ed7e4e4d1644ff3b20d35c3c4e9989c1ff4","observation_id":"8ffc34d0-535b-4821-b867-5c255564c7fc","resolution":{"observed_at":"2026-08-03T11:34:14.977472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.04475","last_updated":"2025-03-10T09:27:03Z","snapshot_observed_at":"2026-07-06T17:56:23.317089Z","submitted_at":"2024-04-06T02:29:02Z","title":"Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.04475","snapshot_observed_at":"2026-08-03T11:34:14.982572Z","title":"Haduong, N.; Wang, I.; Lu, B.-R.; Ammanabrolu, P.; and Smith, N","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents","version":2},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-03T11:34:14.982572Z"},"links":{"cited_paper":"/paper/2404.04475","citing_paper":"/paper/2601.05899"},"observation_digest":"sha256:adada82f654e9704a3f4b2ee3e55b4624d045e4138e13618c31849b3e2791690","observation_id":"fd57e4d7-7060-479a-8847-77e65f44b828","resolution":{"observed_at":"2026-08-03T11:34:14.982572Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2601.05899","last_updated":"2026-05-26T17:34:04Z","latest_version":2,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-04T14:56:41.772989Z","submitted_at":"2026-01-09T16:18:08Z","title":"TowerMind: A Tower Defence Game Learning Environment and Benchmark for LLM as Agents"},"reference_resolution":{"displayed":8,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":8},"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 8 of 8 outbound references and 4 inbound Pith citation observations for arXiv:2601.05899."}