{"as_of":"2026-08-09T17:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5edcc9c973814fe89dcaf63fce67ca8ae30e39644ef97c8416fa22d1c09233bd","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T19:17:11.920427Z","state":"measured"},{"denominator":39,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":39,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+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":"2026-05-10T02:40:21.647700Z","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":"2026-05-11T12:51:06.930793Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"cited_work":{"arxiv_id":"2507.06004","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2507.06004","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7f2efe06-67ae-450e-a4b5-1c879f184f14","year":2025},"citing_paper":{"arxiv_id":"2604.19042","last_updated":"2026-04-21T03:48:50Z","snapshot_observed_at":"2026-07-06T23:05:44.499005Z","submitted_at":"2026-04-21T03:48:50Z","title":"STK-Adapter: Incorporating Evolving Graph and Event Chain for Temporal Knowledge Graph Extrapolation","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-10T02:40:21.647700Z"},"links":{"cited_paper":"/paper/2507.06004","citing_paper":"/paper/2604.19042"},"observation_digest":"sha256:c1806ff05c0d6739326b46b60474aeb012277aaec67249b794bd3c6939b59739","observation_id":"613f4298-e7d7-4cb9-a3d1-a0fc350f6f6f","resolution":{"observed_at":"2026-05-11T12:51:06.942358Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2507.06004/citation-record","integrity":"/paper/2507.06004/integrity","json":"/paper/2507.06004/citation-record.json","paper":"/paper/2507.06004"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:17:17.023791Z","title":"Memory aware synapses: Learning what (not) to forget","venue":null,"work_id":"0e4ef5d4-8de6-45a3-be99-e7cbd2f11029","year":2018},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.106545Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:8ac527abe67716d4c73daf31bdc416881cf073fe387a1d9f355791690e6e7efb","observation_id":"182746ed-b3b8-43a4-909f-790462400dcd","resolution":{"observed_at":"2026-08-06T19:17:17.027157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.10486","last_updated":"2019-06-04T07:59:35Z","snapshot_observed_at":"2026-08-07T08:44:38.959537Z","submitted_at":"2019-02-27T12:34:19Z","title":"On Tiny Episodic Memories in Continual Learning","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.10486","snapshot_observed_at":"2026-08-06T19:17:09.304675Z","title":"On tiny episodic memories in continual learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.304675Z"},"links":{"cited_paper":"/paper/1902.10486","citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:5dfed39e2a5be815a5644eb27a86372f71ae02f673a714dee3c75b320ed81f78","observation_id":"5b5dca30-4a5e-4700-9052-ac813c460d69","resolution":{"observed_at":"2026-08-06T19:17:09.304675Z","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":"2026-08-06T19:17:16.773035Z","title":"One by one, continual coordinating with humans via hyper- teammate identification","venue":null,"work_id":"650b2eb1-7cdf-4ac0-8b8c-260dec672dd8","year":2024},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.697018Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:899eb4c5dece263b9944a55f0ac8fe164fa13e11ea8f2ccfa3292cf9374b9246","observation_id":"12402e36-c5d0-465e-b20e-063c0cdf2806","resolution":{"observed_at":"2026-08-06T19:17:16.815540Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.593936Z","title":"Memorizing complementation net- work for few-shot class-incremental learning.IEEE Trans- actions on Image Processing, 32:937–948,","venue":null,"work_id":"0ef46428-d721-41c1-a3a2-c52c4cb83297","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.853576Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:be6b73c4bb346809e43a593b99dc4d94eafd9b09e6078f1a8689f564d3ab2776","observation_id":"9596aa14-408b-46fe-9a48-0037450f0e87","resolution":{"observed_at":"2026-08-06T19:17:16.631614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.499629Z","title":"Boosting multiagent reinforcement learn- ing via permutation invariant and permutation equivariant networks","venue":null,"work_id":"e96cedc5-8424-45a8-8ed0-25968e6b95fb","year":2022},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.958254Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:b14e8917094197e641c496d684b5453684b5458896e13f20a7551f45554cc317","observation_id":"e1593c1a-6490-462c-9c44-7115564b3beb","resolution":{"observed_at":"2026-08-06T19:17:16.540275Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.277072Z","title":"Achieving a better stability-plasticity trade-off via auxiliary networks in con- tinual learning","venue":null,"work_id":"0b6b4544-c82f-486c-ae9f-d7d2fe726a93","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.124530Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:0114f3bec3d23d5c403db1f439dba809bf301962339a11b770bc47175a84dcbe","observation_id":"ceee67ed-0804-4e1c-abdc-f7e3976f31d1","resolution":{"observed_at":"2026-08-06T19:17:16.364070Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.009785Z","title":"Deep reinforcement learning for autonomous driving: A survey","venue":null,"work_id":"fbb50ca9-f745-45c0-85d2-b9c1d12445b6","year":2021},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.156531Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:b9a05046af2e20b54e47638ab5ffda4ccf27ccaf0397d247de971c0873fb580d","observation_id":"90b2c38f-6a47-4744-a707-009f8d5a5027","resolution":{"observed_at":"2026-08-06T19:17:16.155538Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:15.757403Z","title":"Overcom- ing catastrophic forgetting in neural networks","venue":null,"work_id":"a3fe7ab0-33ec-47f1-ad15-0dc3a7680834","year":2017},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.286802Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:be83b63b60bb21382882d703877a7893789ac4548531cd24254ef90699835fea","observation_id":"2417b6c1-9987-4167-a989-f198f32c9ba8","resolution":{"observed_at":"2026-08-06T19:17:15.898163Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:15.499649Z","title":"Maven: Multi-agent variational exploration","venue":null,"work_id":"10b319f9-487c-4ac9-a29f-56e50e7156a9","year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.443270Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:0d2f5ef41093e5ae948a189db5833c8adedb99f5068bd912be048a089e5a88ea","observation_id":"9d17e653-b5ed-4962-8466-3b557a215950","resolution":{"observed_at":"2026-08-06T19:17:15.625834Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:15.374029Z","title":"Importance estimation for neural network pruning","venue":null,"work_id":"0f7929d7-f0b7-4c94-b59e-1bb566a048aa","year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.514724Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:f4a33ec9c982215dbb101cb591396287e3b7781efd4ed93f3b3bb22b0ce1f2f5","observation_id":"53865227-c211-4563-978f-1d3d476d2784","resolution":{"observed_at":"2026-08-06T19:17:15.413505Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:15.066189Z","title":"Continuous coordination as a realistic scenario for life- long learning","venue":null,"work_id":"bb6d7b10-2b90-4e37-a347-1bab7708458e","year":2021},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.627735Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:27514cf57ac7896e4efb50f6876e186ee2002e422d7cedda3c01a6bd661425af","observation_id":"61ea97c6-a92d-4cc1-8201-a9890f51e93c","resolution":{"observed_at":"2026-08-06T19:17:15.245151Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:14.840911Z","title":"A concise introduction to decentralized POMDPs, volume","venue":null,"work_id":"004265d9-ddb7-429c-be52-b3fb70859f32","year":2016},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.715870Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:a8ad535d81b26bf0d11c2d5bee1244742c1a1f588096ec5b15b3b4a64f23e8ea","observation_id":"ce62a9f5-63e1-49fd-be81-f9183971a8d6","resolution":{"observed_at":"2026-08-06T19:17:14.931598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07869","last_updated":"2021-11-09T10:42:04Z","snapshot_observed_at":"2026-07-06T09:28:53.031338Z","submitted_at":"2020-06-14T11:22:53Z","title":"Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07869","snapshot_observed_at":"2026-08-06T19:17:10.904228Z","title":"Benchmarking multi-agent deep reinforcement learn- ing algorithms in cooperative tasks","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.904228Z"},"links":{"cited_paper":"/paper/2006.07869","citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:af5e461cb025350db5eeef6c2129e2fc6e6a80bc95d26289911815c331819a03","observation_id":"6f2c22e2-4dfc-4208-bb3d-12a026d54791","resolution":{"observed_at":"2026-08-06T19:17:10.904228Z","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":"2026-08-06T19:17:14.176948Z","title":"Catastrophic forgetting, rehearsal and pseudorehearsal","venue":null,"work_id":"b6507420-0070-44cd-9b3d-bb53821cf3d9","year":1995},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.998317Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:22b1642a9cb5358f51fa3e4c0e05e69c317de1828e0fea691267deb7e0f531de","observation_id":"3fd9d6b2-4eeb-4945-8d4d-1651f5cb0c5d","resolution":{"observed_at":"2026-08-06T19:17:14.354508Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1902.04043","last_updated":"2019-12-09T07:26:52Z","snapshot_observed_at":"2026-08-09T00:58:24.558416Z","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":"2026-08-06T19:17:11.193353Z","title":"The starcraft multi-agent challenge","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.193353Z"},"links":{"cited_paper":"/paper/1902.04043","citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:ffa2ea3a0851a5a1964c6f325b2a1937e719736bdf6d720c135ebdcd26521c1e","observation_id":"79a94b4d-7fc6-4bd3-a3b5-763891662f2d","resolution":{"observed_at":"2026-08-06T19:17:11.193353Z","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":"2026-08-06T19:17:11.266835Z","title":"Resq: A residual q function-based approach for multi-agent reinforcement learning value factoriza- tion","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.266835Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:19edae3dbb113cd23fd02f9b7e2ff5e129056d6b92797e2c1823e54a6c3507ea","observation_id":"eecf529e-60a3-4cb0-a2eb-841f8ade0f6a","resolution":{"observed_at":"2026-08-06T19:17:11.266835Z","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":"2026-08-06T19:17:13.556790Z","title":"Lateral transfer learning for multia- gent reinforcement learning","venue":null,"work_id":"439740ba-6258-4d51-bba4-ed89985edb56","year":2021},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.350894Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:4765a21d81afb38697ab09981022afb22d16177f83bf562d289a114bf6109aff","observation_id":"1c71c7e0-455f-4d08-bab8-159550ba3e89","resolution":{"observed_at":"2026-08-06T19:17:13.738812Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:17:11.404000Z","title":"Qtran: Learn- ing to factorize with transformation for cooperative multi- agent reinforcement learning","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.404000Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:150084da7ec9b96d7083b0eef2e35f6ad661a2db9874e76f7b555cac124e5f62","observation_id":"4ac24113-bfd4-4ea9-b5b2-d50bf0ff7902","resolution":{"observed_at":"2026-08-06T19:17:11.404000Z","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":"2026-08-06T19:17:13.221525Z","title":"Code: Communication delay-tolerant multi-agent collaboration via dual alignment of intent and timeliness","venue":null,"work_id":"a04c434e-2fe0-4af4-a176-96ab59607c33","year":2025},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.462560Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:d27eb25062f17f9182c96106fe9291c6a6c1620cded7bedc5c9ba6b6bb3b08f0","observation_id":"f2022a33-5ad7-4bdc-b265-bf0d5fbad24c","resolution":{"observed_at":"2026-08-06T19:17:13.360162Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.988752Z","title":"Visualizing data using t-sne.Journal of machine learning research, 9(11),","venue":null,"work_id":"912a369b-bac8-467d-bb92-9ff596338483","year":2008},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.589190Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:285ea96e125c6c7e7d0a34beb196c7cb60efb19fb82fafe74fe50f8b57c77e3d","observation_id":"2fce946f-0b29-47da-96f4-ad847a35e889","resolution":{"observed_at":"2026-08-06T19:17:13.075041Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.708433Z","title":"Sample-efficient multiagent reinforcement learning with reset replay","venue":null,"work_id":"d6b12241-671e-41bb-8f52-b8b9d6436c4e","year":2024},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.646914Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:742c53c7961628f898311989287a23cf03889d154b1ddcfc96a2a744ab619da0","observation_id":"dab8945e-4d48-43b8-9774-3edb69ca27de","resolution":{"observed_at":"2026-08-06T19:17:12.822536Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.575885Z","title":"Optimizing task scheduling in human-robot collaboration with deep multi-agent reinforcement learning","venue":null,"work_id":"d02c62da-0106-49e8-ba59-0d690deed736","year":2021},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.710512Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:35385e31165a439ff8ff6cec1acaacb3b1575a04c27054d99bcf6b08df8a59eb","observation_id":"da505fe6-bde7-4629-8cde-18d61ae04930","resolution":{"observed_at":"2026-08-06T19:17:12.633654Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.442388Z","title":"The surprising effectiveness of ppo in cooperative multi-agent games","venue":null,"work_id":"939001da-a308-4876-bb04-950ed06f5453","year":2022},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.739307Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:8dedc9b8fd165d990f1cd37e96d3e51e6578b3d1d5ade4fe061be69929702f40","observation_id":"fc832945-fa53-416e-a51a-a590d4715e21","resolution":{"observed_at":"2026-08-06T19:17:12.508683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.339675Z","title":"Multi-agent incentive communication via decentralized teammate modeling","venue":null,"work_id":"ffce4344-510e-438e-a33b-93dab0e8f44d","year":2022},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.776658Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:1cfd083e00b42db681fa1d3dbc4cfa9de088284c841917058673388c8e39a787","observation_id":"41137a93-34fb-4276-a2a5-34d364708ced","resolution":{"observed_at":"2026-08-06T19:17:12.393694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.233345Z","title":"Multiagent con- tinual coordination via progressive task contextualization","venue":null,"work_id":"fa4fc57e-1e53-45c1-8c10-ececb1f2fc4a","year":2024},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.815361Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:e07ae393e426b160c877b44b4d0dbde62d785a80c827b0f4418f85d4ea8b683d","observation_id":"cd3dcda5-5aca-4baa-8e43-974e90ee95ce","resolution":{"observed_at":"2026-08-06T19:17:12.286614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.132290Z","title":"Vqacl: A novel visual question answering con- tinual learning setting","venue":null,"work_id":"b981814a-d8f1-48bb-a9cb-727f142279fd","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.873043Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:863c6aaa01f3bcd4fc08ba55071e686dd50f35e68b0e80f9944d23a8e1598169","observation_id":"8e66735f-e45c-4fc7-b535-a960ce06f4c5","resolution":{"observed_at":"2026-08-06T19:17:12.179866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:12.048380Z","title":"Enhancing off-policy con- strained reinforcement learning through adaptive ensem- ble c estimation","venue":null,"work_id":"a26ffbe4-8968-4ee9-b3f8-c9a2ac893f2c","year":2024},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.920427Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:ead2d695ee5d457188e084d7d5bcbe687683ff634c2f226867878796dca72282","observation_id":"ef8d53ba-859a-49bd-adb1-90e5efeab891","resolution":{"observed_at":"2026-08-06T19:17:12.082208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:13.872820Z","title":"Expe- rience replay for continual learning","venue":null,"work_id":"4f1360d3-3bbc-4d4c-ac25-8a7d86c70e81","year":2019},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":1995,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.109117Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:a53919357c18ab8319b3e5647e73293c930effbd0c09693f2fd72b068b3cd60f","observation_id":"4d0ca1eb-1a6f-4e2b-a18a-fa567b2bbc86","resolution":{"observed_at":"2026-08-06T19:17:13.983332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:14.506962Z","title":"A review of cooperative multi-agent deep reinforcement learning","venue":null,"work_id":"b788a9f7-73ca-49a8-b571-b8f444a9a01e","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.805597Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:e260de2bd2f19118e9f6501df88a23f254c7c51f2556a2ac85476d0e070ac9f1","observation_id":"ac946811-b958-491f-ac54-2044ccec579b","resolution":{"observed_at":"2026-08-06T19:17:14.671741Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:17:10.349680Z","title":"Multi- agent actor-critic for mixed cooperative-competitive envi- ronments","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.349680Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:a862de44911fb78f2ace2fb97c9779184ef3d9a468f6b2cacda2091f25e9a5d8","observation_id":"daeebfdf-022e-4644-a761-0054654d0106","resolution":{"observed_at":"2026-08-06T19:17:10.349680Z","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":"2026-08-06T19:17:17.006358Z","title":"Hypernetworks in meta-reinforcement learning","venue":null,"work_id":"543ed628-ab69-4711-ac76-3026d321b069","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.149711Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:17826e8f609aa525329d76974701b11496dd30f682c4328cdc55847e7358f612","observation_id":"6a83dc95-adc4-4551-b0ed-c213b6618437","resolution":{"observed_at":"2026-08-06T19:17:17.017615Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2011.09533","last_updated":"2020-11-18T20:29:59Z","snapshot_observed_at":"2026-08-06T15:48:23.562152Z","submitted_at":"2020-11-18T20:29:59Z","title":"Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.09533","snapshot_observed_at":"2026-08-06T19:17:09.418866Z","title":"Is independent learning all you need in the starcraft multi-agent challenge? arXiv preprint arXiv:2011.09533,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.418866Z"},"links":{"cited_paper":"/paper/2011.09533","citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:7db673fb078cc36bd1da8fb133688ba84cc75b2e7f58c8b05dc904fd6ced3a16","observation_id":"29ed48fb-af18-4bbb-bcec-f3f6ee44af59","resolution":{"observed_at":"2026-08-06T19:17:09.418866Z","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":"2026-08-06T19:17:16.862292Z","title":"Cervera, Alexander Meulemans, Johannes von Oswald, and Benjamin F","venue":null,"work_id":"52dd6aea-a6db-49df-9b29-1458722d9cee","year":2021},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.534879Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:f6aad54dee4f1659ae5f738efd85b0c2e234eb5d100b516a2a42153492853c02","observation_id":"1df4d469-ba5e-4e48-9a9a-fe9313c76363","resolution":{"observed_at":"2026-08-06T19:17:16.897720Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T19:17:09.630672Z","title":"Counterfactual multi-agent policy gradients","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.630672Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:e97b8f41360d489b085e1a069d25fc5b1fff9c357c6e030bd500f54d4abcddc9","observation_id":"1de757a0-3f8c-48b7-b920-54a66fa52d43","resolution":{"observed_at":"2026-08-06T19:17:09.630672Z","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":"2026-08-06T19:17:16.401897Z","title":"Same state, different task: Continual reinforcement learning without interference","venue":null,"work_id":"f0da1cdd-e43c-439b-bf5a-2ac769e6b70f","year":2022},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:10.042334Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:60a71c82b5b3303b5b468682055bade708e65e381d51bcf5fd90a2a63987b3d8","observation_id":"da4fab0b-1073-4bd1-9fda-1f7cbd9dd3f6","resolution":{"observed_at":"2026-08-06T19:17:16.436755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.944139Z","title":"Continual learning with dependency preserving hypernetworks","venue":null,"work_id":"5ff215fe-faf0-46b8-b05c-72a13bb19703","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.233550Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:c00684b5b805c78c5a3c98b018a5ae42576a62dba86f83964090a579a04acc11","observation_id":"f9c384be-476d-406a-afc0-06651c702d80","resolution":{"observed_at":"2026-08-06T19:17:16.995945Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+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":"2026-08-06T19:17:16.679084Z","title":"Rethinking the implementation tricks and monotonicity constraint in cooperative multi-agent rein- forcement learning","venue":null,"work_id":"ae6cd25f-00bf-46c8-a1f7-006c88e61069","year":2023},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:09.768730Z"},"links":{"citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:88ad4ae860c5abbcc99d1a3007e422cdd5803eff1d8ff51df52c6477a6d22680","observation_id":"749cff4d-8cbb-477a-8760-6d8ec6a5509d","resolution":{"observed_at":"2026-08-06T19:17:16.718144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.05296","last_updated":"2017-06-16T14:47:21Z","snapshot_observed_at":"2026-07-06T05:47:10.770104Z","submitted_at":"2017-06-16T14:47:21Z","title":"Value-Decomposition Networks For Cooperative Multi-Agent Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1706.05296","snapshot_observed_at":"2026-08-06T19:17:11.532135Z","title":"Value-decomposition networks for cooperative multi-agent learning","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination","version":1},"reference_index":2025,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:11.532135Z"},"links":{"cited_paper":"/paper/1706.05296","citing_paper":"/paper/2507.06004"},"observation_digest":"sha256:f2abccf7fb5c5bce76f8941ae0a281a140f7fbd0b3a6335a4c875705df3ec964","observation_id":"cd91668c-5d06-4f0d-8cbc-d8d94ac03fe9","resolution":{"observed_at":"2026-08-06T19:17:11.532135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2507.06004","last_updated":"2025-07-08T14:07:53Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-07T08:46:11.836572Z","submitted_at":"2025-07-08T14:07:53Z","title":"From General Relation Patterns to Task-Specific Decision-Making in Continual Multi-Agent Coordination"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":29},"total_outbound_references":38},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 1 inbound Pith citation observation for arXiv:2507.06004."}