{"as_of":"2026-08-16T18:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:583a01b9f7376799c17ebd683a422007f40740b4b3f074ded7a3c4e5e22363e0","coverage":[{"denominator":251,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":100,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:25:41.132550Z","state":"measured"},{"denominator":100,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":100,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/2608.11965/citation-record","integrity":"/paper/2608.11965/integrity","json":"/paper/2608.11965/citation-record.json","paper":"/paper/2608.11965"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:40.563744Z","title":"https://github.com/Significant-Gravitas/Auto-GPT, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.563744Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:a7b541df3f0ea8ee75ce6db573288bb84a36b991ff8c3188bc0bb4b71537ad96","observation_id":"c8c13e6f-db8e-47ef-981a-7539608900b1","resolution":{"observed_at":"2026-08-16T00:25:40.563744Z","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":"2026-08-16T00:25:40.567343Z","title":"https://github.com/run-llama/llama_index, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.567343Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:1f959ea18ac6819e570334a4080f69f93230af4eec3872a4db3a51a2e9fd20e0","observation_id":"ebc0add4-e28b-44a7-a207-1dd3fd70f8b2","resolution":{"observed_at":"2026-08-16T00:25:40.567343Z","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":"2026-08-16T00:25:40.571645Z","title":"https://github.com/microsoft/autogen, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.571645Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:142403f0f6b86a81efcf0a9bb66cc3e3b7ea70199b4e6ef3193df0eb5a84f7d2","observation_id":"816a4ec2-25f2-4ef6-a312-026b64d9ab12","resolution":{"observed_at":"2026-08-16T00:25:40.571645Z","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":"2026-08-16T00:25:40.575367Z","title":"https://github.com/microsoft/semantic-kernel, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.575367Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:f48047e785a3d7ee4675b11c0294dc031191961b52744c68c0bc3bf47e4d6433","observation_id":"1baaf72b-f3af-4ec5-8ef6-8704b2e6daa2","resolution":{"observed_at":"2026-08-16T00:25:40.575367Z","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":"2026-08-16T00:25:40.578683Z","title":"https://github.com/xlang-ai/OpenAgents, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.578683Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d51c27425725711253b52de7164d73f0d9eb0d0f6b20d5c58a0b8f83875b3979","observation_id":"d0fbbc16-78bd-403f-b091-95e7cdabbaf5","resolution":{"observed_at":"2026-08-16T00:25:40.578683Z","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":"2026-08-16T00:25:40.602153Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.602153Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d944cfae3f923583f5bfae0a2ab515156a9da2bbd1bb5c1ab7e24c7a9bafd645","observation_id":"5bab7c35-7a71-45c3-a1c1-ffc2bc17cfd6","resolution":{"observed_at":"2026-08-16T00:25:40.602153Z","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":"2026-08-16T00:25:40.616840Z","title":"https://github.com/camel-ai/camel, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.616840Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d500a38a9c898e145f743d65bef203eb46a4bad049cb48c329fc79ea911aa13f","observation_id":"b1160bd5-5ee8-4508-b8aa-2eee7b13f32c","resolution":{"observed_at":"2026-08-16T00:25:40.616840Z","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":"2026-08-16T00:25:40.620448Z","title":"https://github.com/langgenius/dify, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.620448Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:f47865b05f6d2820661b3fff8be37f40930bfaf624d729e56a9c8385fbb477cf","observation_id":"562c4b7e-c4a5-465a-adfa-04604f209445","resolution":{"observed_at":"2026-08-16T00:25:40.620448Z","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":"2026-08-16T00:25:40.623743Z","title":"https://github.com/FlowiseAI/Flowise, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.623743Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:b78ed3ef82eaecf25eda065a2bc6628b58d3c6406d504cb512459d9256e8c515","observation_id":"851c893b-9e29-4570-98ae-5f82e897df65","resolution":{"observed_at":"2026-08-16T00:25:40.623743Z","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":"2026-08-16T00:25:40.626698Z","title":"https://github.com/kreneskyp/ix, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.626698Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:02d930c562a3b0c122a53ab1f51b9e5ad4bd435f3d12835fa8b7b5e335dfeca8","observation_id":"ff9aef5c-4f91-4b1f-81fc-047f8e4aa0d1","resolution":{"observed_at":"2026-08-16T00:25:40.626698Z","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":"2026-08-16T00:25:40.630235Z","title":"Houghton Mifflin Boston","venue":null,"work_id":null,"year":1979},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.630235Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:141ebc2a4d52e60b49f91299e565d69e091d6377152de8de6b8498f50c5cce19","observation_id":"c234b684-a11f-48eb-8ca5-e70392a07081","resolution":{"observed_at":"2026-08-16T00:25:40.630235Z","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":"2026-08-16T00:25:40.633636Z","title":"In: Bertolino A, Pascoal Faria J, Lago P, Semini L (eds) Quality of Information and Communications Technology, Springer Nature Switzerland, Cham, pp 161--176","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.633636Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:4e03d2fc81c62aa86e874b31e74bc98c91b3a5f5c541ae8947f95255ee46a1a8","observation_id":"6b7d9b60-6b1b-4783-bd45-2a57b8059630","resolution":{"observed_at":"2026-08-16T00:25:40.633636Z","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":"2026-08-16T00:25:40.636599Z","title":"Information and Software Technology 181:107678, doi:https://doi.org/10.1016/j.infsof.2025.107678, ://www.sciencedirect.com/science/article/pii/S0950584925000175","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.636599Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:be7293d3404c683f436139226b92883e9bd619b70d7d4cf8f4f95cbcd118ca2c","observation_id":"ec65d720-3ed9-4f4f-819e-2d721db2814b","resolution":{"observed_at":"2026-08-16T00:25:40.636599Z","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":"2026-08-16T00:25:40.639949Z","title":"://github.com/MDEGroup/LLMs-based-MAS-ReplicationPackage","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.639949Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:0cdd91361f350a2404cdca91b82913f8501caf28fa85abac76e32439761d527b","observation_id":"8801ab0b-7e01-4adb-aaca-ba2f1f28613f","resolution":{"observed_at":"2026-08-16T00:25:40.639949Z","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":"2026-08-16T00:25:40.644009Z","title":"https://github.com/deepset-ai/haystack, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.644009Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:9e13c9031ebe311098c389b6166168fd861317be40a72d7537a447b0a38c6d12","observation_id":"b10ace75-d933-4091-8237-2b9d100b40b3","resolution":{"observed_at":"2026-08-16T00:25:40.644009Z","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":"2026-08-16T00:25:40.657155Z","title":"https://github.com/agno-agi/agno, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.657155Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:89ffd5bd0c7cc085175d30535f7c231f32dfe6da9001fe6a8106e34baeb0e0d7","observation_id":"f33eb81a-00cb-4f42-b502-b3e9ddf71f3a","resolution":{"observed_at":"2026-08-16T00:25:40.657155Z","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":"2026-08-16T00:25:40.660321Z","title":"In: The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024, OpenReview.net, ://openreview.net/forum?id=2Rwq6c3tvr","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.660321Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:41d1c68998a1af580c50d5f06fbd25b47e0d9dd1d54e80ed34d660263928e5e1","observation_id":"b7575084-f400-4d66-8d03-134550123810","resolution":{"observed_at":"2026-08-16T00:25:40.660321Z","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":"2026-08-16T00:25:40.663381Z","title":"Lawrence Erlbaum Associates, ://books.google.it/books?id=4C49CGkNxLAC","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.663381Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:add13ed8f92b074289690f65b59a7a4613ff6ad8190986bd20a53778f70ed816","observation_id":"01ecde4e-f5c9-4c1d-a9bf-f6b8102c855d","resolution":{"observed_at":"2026-08-16T00:25:40.663381Z","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":"2026-08-16T00:25:40.692658Z","title":"In: Proceedings of the 40th International Conference on Machine Learning, JMLR.org, ICML'23","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.692658Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:25a13c968e7f126b9aad5e5b3b70cce8ffff2b27498eede74f22f14d1264c6f9","observation_id":"54d362ec-d71e-4e99-bb7b-d6f111889825","resolution":{"observed_at":"2026-08-16T00:25:40.692658Z","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":"2026-08-16T00:25:40.702053Z","title":"IEEE Software 12(6):42--50, doi:10.1109/52.469759","venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.702053Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:06972457a3f454214295a793e41bea2ce160b6dcdf041ea7dc28bf042fd84107","observation_id":"097b34a3-3398-43c2-8801-dc11dd1367e3","resolution":{"observed_at":"2026-08-16T00:25:40.702053Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.17760","last_updated":"2023-11-02T17:34:57Z","snapshot_observed_at":"2026-08-16T08:17:30.538734Z","submitted_at":"2023-03-31T01:09:00Z","title":"CAMEL: Communicative Agents for \"Mind\" Exploration of Large Language Model Society","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.17760","snapshot_observed_at":"2026-08-16T00:25:40.708396Z","title":"://arxiv.org/abs/2303.17760, 2303.17760","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.708396Z"},"links":{"cited_paper":"/paper/2303.17760","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:cee457948313c8562b5aac4990304c16d07ffbfc0cc0d7fa3508f3b8625a6176","observation_id":"a04fcea1-78ff-4e11-bc06-01581d33eaa3","resolution":{"observed_at":"2026-08-16T00:25:40.708396Z","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":"2026-08-16T00:25:40.715197Z","title":"Journal of Systems and Software 212:112002, doi:https://doi.org/10.1016/j.jss.2024.112002, ://www.sciencedirect.com/science/article/pii/S0164121224000451","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.715197Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:fabff4c250b38726f7c2c4211229d47cb1e05f069caa2b279e2d6242d6d049d9","observation_id":"4d3ec504-7782-44bf-9840-49efb410d487","resolution":{"observed_at":"2026-08-16T00:25:40.715197Z","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":"2026-08-16T00:25:40.718500Z","title":"In: Text Summarization Branches Out, Association for Computational Linguistics, Barcelona, Spain, pp 74--81, ://aclanthology.org/W04-1013/","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.718500Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:09ae291534a87e0e2e80ae83aac5db46148f172e50f7c3d09c6aae95a099cf08","observation_id":"d56a06a7-646f-4b81-87ee-e01f8af84b04","resolution":{"observed_at":"2026-08-16T00:25:40.718500Z","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":"10.1016/j.redeen.2016.05.001","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.201550Z","title":"doi:http://dx.doi.org/10.1016/j.redeen.2016.05.001","venue":null,"work_id":"a4675ea8-ad78-48b1-95fa-9e843ac53cfe","year":2016},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.735912Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:f256fe35d7529029362c27000aa98f17ae83a5e9d935fba68970463443c200ca","observation_id":"1482915b-b7b5-48c6-8972-adbaed3b04d6","resolution":{"observed_at":"2026-08-16T00:25:42.205694Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:40.750569Z","title":"://docs.softwareheritage.org/devel/swh-dataset/graph/dataset.html","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.750569Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:bb0eebc22597d34c33f608011b6acba768ee46201e912e8636b41da0340332c3","observation_id":"c50fde2d-57cf-4e2d-bacb-0fe9a84e5255","resolution":{"observed_at":"2026-08-16T00:25:40.750569Z","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":"10.1007/978-3-031-72781-8_2","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.174619Z","title":null,"venue":null,"work_id":"e7f25bf4-762b-44e8-8944-b5848f794db5","year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.756873Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:10f8455381a3083b77be4bd47d646a08eee8987ce2ef05acdc6114c427d17b66","observation_id":"e4b18e37-b5e8-437f-808b-7123e30eff6f","resolution":{"observed_at":"2026-08-16T00:25:42.177965Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:40.759951Z","title":"In: Proceedings of the 32nd International Conference on International Conference on Machine Learning - Volume 37, JMLR.org, ICML'15, p 2152–2161","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.759951Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:14cad0491e8129e6a5d816764c2161f335a6148a0b17804c64d049bd038823bd","observation_id":"8fdaa4e8-171d-4192-8e95-a103d0f30558","resolution":{"observed_at":"2026-08-16T00:25:40.759951Z","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":"2026-08-16T00:25:40.779496Z","title":"Biometrika 52(3/4):591--611, ://www.jstor.org/stable/2333709","venue":null,"work_id":null,"year":1965},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.779496Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:8c51bd48a5ba8fee5037050d8d37fdc0087429a7b904380a8a93c5fffe164887","observation_id":"efbf094a-9873-4574-a531-b28081c8cbaf","resolution":{"observed_at":"2026-08-16T00:25:40.779496Z","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":"2026-08-16T00:25:40.782405Z","title":"https://botpress.com, last accessed: Mar 19, 2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.782405Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:db01ae0665168c92795882b857d1919776b137f38c95e24c81e5d8f35f725bbe","observation_id":"296dfbb2-9326-454b-8cde-2c860fcbbace","resolution":{"observed_at":"2026-08-16T00:25:40.782405Z","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":"2026-08-16T00:25:40.785517Z","title":"https://github.com/crewAIInc/crewAI, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.785517Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:708ba67701f9f228f4d5af135d1e341cec6a09ab4e8562361cec8af964ed041e","observation_id":"c9a01aac-e509-4a28-9ed3-be55b769b4aa","resolution":{"observed_at":"2026-08-16T00:25:40.785517Z","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":"2026-08-16T00:25:40.789248Z","title":"https://github.com/langchain-ai/langchain, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.789248Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:97fd7e95635c42b16427740dd2275290ac91d21bf5f9534cf968ae4984ee6ef8","observation_id":"cfec5c9d-f25c-4229-bf27-0e40d2aca952","resolution":{"observed_at":"2026-08-16T00:25:40.789248Z","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":"2026-08-16T00:25:40.792474Z","title":"https://github.com/geekan/MetaGPT, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.792474Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:c11a7915f71bdef5d678ba77aa432e0ae1d0a3631c171f5e480d9619a95b22a6","observation_id":"5c57c37e-0569-4999-bc3a-e12e7db1fbf4","resolution":{"observed_at":"2026-08-16T00:25:40.792474Z","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":"2026-08-16T00:25:40.795424Z","title":"https://github.com/huggingface/smolagents, gitHub repository, last accessed 11-02-2025","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.795424Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d97dd4f178d8cf493ff58dcd4e980419d509b0f39e875d61e731028bb5aa8145","observation_id":"e9037d00-1056-407d-8e90-c28f5275ff7d","resolution":{"observed_at":"2026-08-16T00:25:40.795424Z","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":"2026-08-16T00:25:40.799211Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.799211Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:bfc1393ff2b4208b8c3e73451a360601b6ed4a2e62268e0144292dd426b1b29b","observation_id":"d6923873-fe6b-4446-9f62-c2eef990b954","resolution":{"observed_at":"2026-08-16T00:25:40.799211Z","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":"2026-08-16T00:25:40.810610Z","title":"Biometrics Bulletin 1(6):80--83, ://www.jstor.org/stable/3001968","venue":null,"work_id":null,"year":1945},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":75,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.810610Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:056807bdfac17584599409450ea12ce145e59ca6e303adf4726c02edfb80e132","observation_id":"fd14d406-6fe7-4fe9-990b-6e5a8bca428f","resolution":{"observed_at":"2026-08-16T00:25:40.810610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.08155","last_updated":"2023-10-03T20:47:10Z","snapshot_observed_at":"2026-08-08T22:28:26.004138Z","submitted_at":"2023-08-16T05:57:52Z","title":"AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.08155","snapshot_observed_at":"2026-08-16T00:25:40.813553Z","title":"://arxiv.org/abs/2308.08155, 2308.08155","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":76,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.813553Z"},"links":{"cited_paper":"/paper/2308.08155","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:2f23a4969d547fe9ff39e8794b318fb3c253cec8caabf1ad7aef829c112ec0c1","observation_id":"e1c4580f-6539-4e6e-bd0e-4aa665852eca","resolution":{"observed_at":"2026-08-16T00:25:40.813553Z","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":"2026-08-16T00:25:40.816951Z","title":"Science China Information Sciences 68(2):121101, doi:10.1007/s11432-024-4222-0, ://doi.org/10.1007/s11432-024-4222-0, read\\_Status: New Read\\_Status\\_Date: 2025-05-12T08:57:00.797Z","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":77,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.816951Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:c11df9fe05193e79276ec7621f0ef1781a10e9d2b12dde7b99128fa0c93b560d","observation_id":"cd498229-e755-4c4c-89ea-2a314b860c47","resolution":{"observed_at":"2026-08-16T00:25:40.816951Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.05562","last_updated":"2024-08-04T04:53:53Z","snapshot_observed_at":"2026-08-16T17:04:05.025154Z","submitted_at":"2023-12-09T12:20:50Z","title":"Chain-of-Thought in Neural Code Generation: From and For Lightweight Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05562","snapshot_observed_at":"2026-08-16T00:25:40.820336Z","title":"://arxiv.org/abs/2312.05562, arXiv:2312.05562 [cs]","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":78,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.820336Z"},"links":{"cited_paper":"/paper/2312.05562","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:ffd06a0d9833fd5543b8ff25728c0c86b25343c55045f30a94adc575620fdcf4","observation_id":"f0b328d8-eab7-4945-a3f7-92756bbb47ad","resolution":{"observed_at":"2026-08-16T00:25:40.820336Z","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":"2026-08-16T00:25:40.837977Z","title":"2005 , publisher=","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":83,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.837977Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d4dfc9a8ff82b3dbd753178c3ad7df20558a5d26b347380f3e004f0b07e9bb2e","observation_id":"026bc5e5-79ba-4ea4-b129-399353847f63","resolution":{"observed_at":"2026-08-16T00:25:40.837977Z","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":"2026-08-16T00:25:40.842065Z","title":"The Twelfth International Conference on Learning Representations,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":84,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.842065Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:2b9fc1969a0e2ada04f033a08f8d4d68801188b7c44c8ce04c618cdc80923779","observation_id":"16149431-160e-4a55-a75b-6437047f4750","resolution":{"observed_at":"2026-08-16T00:25:40.842065Z","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":"2026-08-16T00:25:40.845443Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":85,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.845443Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:3cc70899a6a1838fe6fc767384978a2363215884b7e35cc3948ccc8591782401","observation_id":"b9ae3548-bdba-4634-a70f-9d82b8de5aa5","resolution":{"observed_at":"2026-08-16T00:25:40.845443Z","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":"10.18653/v1/2023.emnlp-main.753","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.190818Z","title":"Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations","venue":null,"work_id":"3dc7b9b1-e791-41a3-9de5-c1b351b34631","year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":86,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.848738Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:7ba93a6043bf6296cf7395fece624879ec0767040597c8cfd4c0949d83ff5d5a","observation_id":"5314abc1-7bc2-4cf6-83ed-999708d44d60","resolution":{"observed_at":"2026-08-16T00:25:42.194302Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:40.851574Z","title":"C hat D ev: Communicative Agents for Software Development","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":87,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.851574Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:49d5b845ad23058a661553ef84b4a7fe343c6d23d8e98a02f70d8bb287dc61d7","observation_id":"30a8f669-6059-47d2-a16c-71366396e036","resolution":{"observed_at":"2026-08-16T00:25:40.851574Z","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":"2026-08-16T00:25:40.855052Z","title":"Many hands make light work: An LLM-based multi-agent system for detecting malicious PyPI packages , journal =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":88,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.855052Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:1b140badf6d13e091e282531724c0ab13f1c30a3a6ec33a84f2879b3726623fa","observation_id":"1212be98-e2f5-4fc0-93c2-6feb4b3cec60","resolution":{"observed_at":"2026-08-16T00:25:40.855052Z","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":"2026-08-16T00:25:40.858150Z","title":"ACM Trans","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":89,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.858150Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:18b214e5a9da313864008544119e6626d88d682f5f192a26be9d5e53a7e32ece","observation_id":"b875806f-5639-426e-8d0d-43aeafb66640","resolution":{"observed_at":"2026-08-16T00:25:40.858150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2508.15503","last_updated":"2026-05-21T21:46:55Z","snapshot_observed_at":"2026-08-14T19:16:27.854742Z","submitted_at":"2025-08-21T12:30:30Z","title":"Guidelines for Empirical Studies in Software Engineering involving Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.15503","snapshot_observed_at":"2026-08-16T00:25:40.861813Z","title":"Guidelines for Empirical Studies in Software Engineering involving Large Language Models , journal =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":90,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.861813Z"},"links":{"cited_paper":"/paper/2508.15503","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:bc56930c5ff33e6f5b0ad74b9ba361f133ee84a19c026d434c4815126ba7f900","observation_id":"779424a5-1168-4804-b69d-0defea44372d","resolution":{"observed_at":"2026-08-16T00:25:40.861813Z","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":"2026-08-16T00:25:40.865018Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":91,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.865018Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:5eb012c153fa1bdae35bac3fe0398f42576ae951ede0f950658588dab7c7ea3d","observation_id":"c911e23d-3ba3-4a96-9fd4-e77dfce1fbe2","resolution":{"observed_at":"2026-08-16T00:25:40.865018Z","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":"2026-08-16T00:25:40.868218Z","title":"Privacy issues in Large Language Models: A survey , journal =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":92,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.868218Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:cce5f2a89cf9b5bbce185a5c5428f2b770faa241204b0789701fbc61df95e1a4","observation_id":"ddb95fb0-c408-4630-a80f-60a44f194afb","resolution":{"observed_at":"2026-08-16T00:25:40.868218Z","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":"2026-08-16T00:25:40.871405Z","title":"Security and privacy in LLMs: A comprehensive survey of threats and mitigation strategies , journal =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.871405Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:00f542d1a3ee7c7a152fe5aa556f337be53f4c8b25a3d07f2bd6892ad40338f9","observation_id":"edb3d263-b8b9-4e87-b1e6-d258791620d5","resolution":{"observed_at":"2026-08-16T00:25:40.871405Z","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":"2026-08-16T00:25:40.874912Z","title":"Nguyen , keywords =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.874912Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:e115dc2635355ecfdfc5ba778c0114a7b0ba2e5fd01da51813b6c89a2b24f484","observation_id":"47243bbf-84f2-4193-aa47-142568e64784","resolution":{"observed_at":"2026-08-16T00:25:40.874912Z","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":"2026-08-16T00:25:40.877661Z","title":"Knowledge Graphs, Large Language Models, and Hallucinations: An NLP Perspective , journal =","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":95,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.877661Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:2a4279fc7396b81398de6bf2d9c5c6ae7317db9daf3920b32fb08f369f290d70","observation_id":"9aa87084-9909-421f-9ea8-afb6139a70c1","resolution":{"observed_at":"2026-08-16T00:25:40.877661Z","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":"2026-08-16T00:25:40.880392Z","title":"GCL: Group-shared continual learning fine-tuning for sparse LLMs , journal =","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.880392Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:a9ce9a45d8556edfb0465c7a9f79b6e311318b5ce307b269f3f70e96f2ed75d7","observation_id":"eb318186-d73d-4243-866b-84553a11557e","resolution":{"observed_at":"2026-08-16T00:25:40.880392Z","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":"10.4135/9781446280119","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.298588Z","title":"doi:https://doi.org/10.4135/9781446280119 , year=","venue":null,"work_id":"e11c42b9-8f58-46c4-b1f5-e2693dfc4b50","year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":97,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.883205Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:09756c2f1dfacc32d65a238e698c935c8eedc956dfa6bad9feb6c517c36742e7","observation_id":"17c3ecbb-3524-435a-90f8-0fb4a3ed2b51","resolution":{"observed_at":"2026-08-16T00:25:42.303159Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:40.886156Z","title":"2024 , eprint=","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.886156Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:c4aeecc04bfe727397e7628d1adb49f086b286a01efd4cc9ed3d9056d39cd811","observation_id":"c369358a-7437-4947-b2aa-afdfffb59204","resolution":{"observed_at":"2026-08-16T00:25:40.886156Z","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":"2026-08-16T00:25:40.889116Z","title":"2023 , eprint=","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":99,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.889116Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:10bb1f6aab40f1f5c721265651d173a6addabd3a9fc1f7ec3a68152625a71694","observation_id":"cb3fae2b-40c0-4320-af1c-4203e0993732","resolution":{"observed_at":"2026-08-16T00:25:40.889116Z","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":"2026-08-16T00:25:40.976680Z","title":"European Journal of Management and Business Economics , DOI =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":100,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.976680Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:8abb8916a7845c06462a556238f8dec2ea20250dd492f7d14b280016935d2c7d","observation_id":"7e181e8a-3d80-4d63-9600-6b4f8c7e1b9a","resolution":{"observed_at":"2026-08-16T00:25:40.976680Z","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":"2026-08-16T00:25:40.980964Z","title":", journal=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.980964Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:70e8d157d263f092d68228be28fa8de648fc6a7ccbfa94c2f31184910a363db4","observation_id":"1f41bb83-afed-4ad2-9325-6207b0877b0a","resolution":{"observed_at":"2026-08-16T00:25:40.980964Z","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":"2026-08-16T00:25:40.984264Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":102,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.984264Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:74e75f4d1da9f9a660929a949d0575c58ea69842952a9f569ce431967789c595","observation_id":"54f75185-4f68-4128-9378-a9e67a1ba207","resolution":{"observed_at":"2026-08-16T00:25:40.984264Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.00269","last_updated":"2022-07-30T16:27:16Z","snapshot_observed_at":"2026-08-16T16:42:15.764697Z","submitted_at":"2022-07-30T16:27:16Z","title":"Automatically Categorising GitHub Repositories by Application Domain","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.00269","snapshot_observed_at":"2026-08-16T00:25:40.987177Z","title":"Automatically","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.987177Z"},"links":{"cited_paper":"/paper/2208.00269","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:db6d49e7ae12ccd135a3c8bdd7c2ee02875d70ab857c3c68e3c5fcd81e4bce85","observation_id":"73a4a87e-8b25-466d-ae73-37b1c41e18be","resolution":{"observed_at":"2026-08-16T00:25:40.987177Z","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":"2026-08-16T00:25:40.990042Z","title":"Dataset —","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":104,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.990042Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:43f15e3b4f2067bf71fb70ba581b884b2af014077f18e9bfca6e216b7c144b89","observation_id":"ba4f43f5-eaa9-4582-8239-a0fad98b093f","resolution":{"observed_at":"2026-08-16T00:25:40.990042Z","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":"2026-08-16T00:25:40.993531Z","title":"Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems , location =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":105,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.993531Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:995b2385eb9ec006584329f4ebc4507afde683262477b2a24188722dc734ee6b","observation_id":"3ecd595b-58e1-4486-b492-1ee2fb743a98","resolution":{"observed_at":"2026-08-16T00:25:40.993531Z","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":"2026-08-16T00:25:40.996616Z","title":"Understanding the","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":106,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:40.996616Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:138208f2e8b4229d5154c47579ac1f0efd0cf0211a40c126b14cec31273ab749","observation_id":"fa1c7700-7063-472c-8681-6d891583d401","resolution":{"observed_at":"2026-08-16T00:25:40.996616Z","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":"10.2139/ssrn.4281782","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.137736Z","title":"Study the","venue":null,"work_id":"321a93aa-56dd-469f-8832-074a4d6315b8","year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":107,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.000049Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:d5fae0263a7b6582b7f03b8ac9b1d65389c98a79cbf5323b6d9b66c17dca678c","observation_id":"7c4f9c0f-a6a3-4e7e-b0d1-de0c66cafb3c","resolution":{"observed_at":"2026-08-16T00:25:42.141829Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:41.003948Z","title":"SIGSOFT Softw","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":108,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.003948Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:15415505b1c297af5717feacb27ed41c9cca77390aa350500a255fe60a182797","observation_id":"81339dcb-6553-4ffc-a052-9c09da4d2832","resolution":{"observed_at":"2026-08-16T00:25:41.003948Z","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":"2026-08-16T00:25:41.007625Z","title":"Proceedings of the 1st ACM International Conference on AI-Powered Software , location =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":109,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.007625Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:4ddada7c7dddaa6befa7ffb80f85e5f635a369923f3bff243fd202d798a3aba0","observation_id":"45677d5c-2fbf-4799-8044-10431f12386d","resolution":{"observed_at":"2026-08-16T00:25:41.007625Z","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":"2026-08-16T00:25:41.010808Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":110,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.010808Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:4dd987a65a90d652a28a230c6b44cca6ceaec2c33b4442d5fca8a212091e2cc6","observation_id":"c064134d-f024-4494-a7da-da0f32eab8df","resolution":{"observed_at":"2026-08-16T00:25:41.010808Z","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":"2026-08-16T00:25:41.014286Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":111,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.014286Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:db125606f4220d57f69331830158e9e8aee497c31e0178086bbcb6958900d8d3","observation_id":"f0d2b085-ad45-4ecc-9fb1-ace79b34100f","resolution":{"observed_at":"2026-08-16T00:25:41.014286Z","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":"2026-08-16T00:25:41.017063Z","title":"High-Confidence Computing , volume = 4, number = 2, pages = 100211, doi =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":112,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.017063Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:8465c05b1cfd4cf7db9b4c4f2d80520619525ed3a4fc5a8eea9d8ba1f6926fd8","observation_id":"26cbaff0-7d23-4291-833f-9c8e5d508019","resolution":{"observed_at":"2026-08-16T00:25:41.017063Z","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":"2026-08-16T00:25:41.019949Z","title":"ACM Trans","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":113,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.019949Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:f9e31f7bdfeb6e850486b60ed23e5943b1998bfb3f9be003e8d000bd71413dea","observation_id":"89f492d7-b60b-4d2f-aa1a-51e51e0fb515","resolution":{"observed_at":"2026-08-16T00:25:41.019949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1612.00796","last_updated":"2017-01-25T13:01:51Z","snapshot_observed_at":"2026-08-14T21:27:22.270542Z","submitted_at":"2016-12-02T19:18:37Z","title":"Overcoming catastrophic forgetting in neural networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1612.00796","snapshot_observed_at":"2026-08-16T00:25:41.023418Z","title":"CoRR , volume =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":114,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.023418Z"},"links":{"cited_paper":"/paper/1612.00796","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:26fb611fd6161e4189c2e3650ef1704eaedd9267f97e5645eb8f5249f6c9b02d","observation_id":"2a2b4b4e-3bea-4282-9e49-0e71d5f01432","resolution":{"observed_at":"2026-08-16T00:25:41.023418Z","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":"2026-08-16T00:25:41.026798Z","title":"and Sethi, Rohan and Lu, Yung-Hsiang and Thiruvathukal, George K","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":115,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.026798Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:6ac4d44da0a9d54c0784379b039559ad4383ff36e33819e370c962e7ffdc8b45","observation_id":"34293ac5-32a8-470d-8336-296ca87b1e78","resolution":{"observed_at":"2026-08-16T00:25:41.026798Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.04761","last_updated":"2023-02-09T16:49:57Z","snapshot_observed_at":"2026-07-06T14:50:07.491434Z","submitted_at":"2023-02-09T16:49:57Z","title":"Toolformer: Language Models Can Teach Themselves to Use Tools","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.04761","snapshot_observed_at":"2026-08-16T00:25:41.030643Z","title":"Toolformer:","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":116,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.030643Z"},"links":{"cited_paper":"/paper/2302.04761","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:25d008c59b0abcd254b92786ea9efbd4ed87b793a850a2b4015b84dff38766aa","observation_id":"3a8655b9-ab6d-4c34-a1e2-523bb52cc7bd","resolution":{"observed_at":"2026-08-16T00:25:41.030643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.16648","last_updated":"2023-08-02T07:47:26Z","snapshot_observed_at":"2026-08-16T15:11:58.639485Z","submitted_at":"2023-07-31T13:27:21Z","title":"LLMs4OL: Large Language Models for Ontology Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.16648","snapshot_observed_at":"2026-08-16T00:25:41.035129Z","title":"doi:10.48550/arXiv.2307.16648 , url =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":117,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.035129Z"},"links":{"cited_paper":"/paper/2307.16648","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:184aa041084a3354dbff4e45e2c13ca99ee7ca1d5d64d325f2c38272fb80d16a","observation_id":"c62f141a-95c4-4ea7-9156-d8db286096e0","resolution":{"observed_at":"2026-08-16T00:25:41.035129Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.08455","last_updated":"2021-10-16T03:27:56Z","snapshot_observed_at":"2026-08-16T17:48:51.601279Z","submitted_at":"2021-10-16T03:27:56Z","title":"Knowledge Enhanced Pretrained Language Models: A Compreshensive Survey","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.08455","snapshot_observed_at":"2026-08-16T00:25:41.039005Z","title":"Knowledge","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":118,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.039005Z"},"links":{"cited_paper":"/paper/2110.08455","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:7dfe491eaca1630927d440884fd93585951a44216b7e794d7984fc9dfcc17efc","observation_id":"598fd136-8e34-4a8a-8df2-f606ef54fbf1","resolution":{"observed_at":"2026-08-16T00:25:41.039005Z","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":"2026-08-16T00:25:41.043175Z","title":"Chain-of-","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":119,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.043175Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:09953d4793b259af7dccd6d3470ec06dd1859194d7328c031a467c64caf908e0","observation_id":"26aa07b0-004e-42d2-a36d-4063744670d8","resolution":{"observed_at":"2026-08-16T00:25:41.043175Z","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":"2026-08-16T00:25:41.047445Z","title":"IEEE Transactions on Software Engineering , volume = 49, number = 4, pages =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":120,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.047445Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:1ed86bfc71aa7f54a4fdb0651ff8262c1c5fdbbd14f37589d940f0519699ab90","observation_id":"ae613c88-15df-401a-bf1d-c6a75d51b2e4","resolution":{"observed_at":"2026-08-16T00:25:41.047445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14333","last_updated":"2023-10-23T14:46:07Z","snapshot_observed_at":"2026-08-16T18:01:12.779977Z","submitted_at":"2023-05-23T17:57:59Z","title":"Automatic Model Selection with Large Language Models for Reasoning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14333","snapshot_observed_at":"2026-08-16T00:25:41.051512Z","title":"Automatic","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":121,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.051512Z"},"links":{"cited_paper":"/paper/2305.14333","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:27ca4ccc68557e0d218661194972e0f62c8ecfdb35a13ef5c36f228b80deed4b","observation_id":"54c9e816-1d3c-4e62-bd28-dfc51254a275","resolution":{"observed_at":"2026-08-16T00:25:41.051512Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.09610","last_updated":"2022-09-13T15:07:00Z","snapshot_observed_at":"2026-08-16T17:48:20.206345Z","submitted_at":"2021-10-18T20:13:38Z","title":"A Survey on Machine Learning Techniques for Source Code Analysis","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.09610","snapshot_observed_at":"2026-08-16T00:25:41.058553Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":123,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.058553Z"},"links":{"cited_paper":"/paper/2110.09610","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:48de1208fde2fde0748719ae7cb757ace44b9798175bc1bf8d74a634e5f4f7a2","observation_id":"6fe6e9d5-44bb-420b-b126-a084b47755f6","resolution":{"observed_at":"2026-08-16T00:25:41.058553Z","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":"2026-08-16T00:25:41.062475Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":124,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.062475Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:23791f926d68acb58a24c6f8a835beeff742632e8370e4674178733ec4f6b3d6","observation_id":"4e710415-8473-4128-9452-a54247bdc833","resolution":{"observed_at":"2026-08-16T00:25:41.062475Z","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":"10.1007/978-3-031-70445-1_35","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.076650Z","title":"doi:10.1007/978-3-031-70445-1_35 , isbn =","venue":null,"work_id":"0d4c677d-d313-4042-a755-5ac79be22b24","year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":125,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.066198Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:da61fa1b28795dbf7c90d8ff0c07fbbe1d0e52eff7b4072527225ad9a6c8320c","observation_id":"89f195be-b3f6-43f1-9e14-1bf91f7f5a94","resolution":{"observed_at":"2026-08-16T00:25:42.080319Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12031","last_updated":"2024-03-28T17:56:28Z","snapshot_observed_at":"2026-08-16T16:38:21.205977Z","submitted_at":"2024-03-18T17:59:04Z","title":"RouterBench: A Benchmark for Multi-LLM Routing System","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12031","snapshot_observed_at":"2026-08-16T00:25:41.069395Z","title":"doi:10.48550/arXiv.2403.12031 , url =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":126,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.069395Z"},"links":{"cited_paper":"/paper/2403.12031","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:dd582cc8245b978a9afc03d0fcc4901832fb3fb983c539a52eeddff42e68cd44","observation_id":"db1dd1d0-6315-4f42-b999-338baa497503","resolution":{"observed_at":"2026-08-16T00:25:41.069395Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.03350","last_updated":"2024-12-28T09:18:36Z","snapshot_observed_at":"2026-08-16T13:03:19.281079Z","submitted_at":"2024-11-04T04:43:01Z","title":"A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.03350","snapshot_observed_at":"2026-08-16T00:25:41.072761Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":127,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.072761Z"},"links":{"cited_paper":"/paper/2411.03350","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:483ae1080715063aebeb6a38441eca41dec1faa2a38b1c56f047cd8e6f6b1254","observation_id":"ae6f1742-0c67-4326-89df-f6ab5d1eb9e7","resolution":{"observed_at":"2026-08-16T00:25:41.072761Z","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":"2026-08-16T00:25:41.077357Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":128,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.077357Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:a95010df84b03eb9603de0bbb6bd434ffe240f289226100fd480cdf17cabb333","observation_id":"f134d450-3e16-4bfd-98a4-dcb8ce720363","resolution":{"observed_at":"2026-08-16T00:25:41.077357Z","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":"2026-08-16T00:25:41.080955Z","title":"A survey on","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":129,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.080955Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:9240e300fde731705a09c511dce1019f9abe27f7927e83a75c90b8b7f1ac3f07","observation_id":"71be3a02-24a4-438f-8df1-f0b785a8c821","resolution":{"observed_at":"2026-08-16T00:25:41.080955Z","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":"2026-08-16T00:25:41.083811Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":130,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.083811Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:fbc7b303bfad787b7b8a2cb4349ecd515a5fb5575fb43556bfdc33e97378b8b1","observation_id":"24e72f68-56e3-4767-9457-d877be765e3b","resolution":{"observed_at":"2026-08-16T00:25:41.083811Z","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":"2026-08-16T00:25:41.086660Z","title":"Proceedings of the 37th","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":131,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.086660Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:439221513e4b490b4b4e0386c7a4f42243879d25e22ae1a3a026df706e3a92fe","observation_id":"33fe9de6-f094-4e05-a50e-817940988c58","resolution":{"observed_at":"2026-08-16T00:25:41.086660Z","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":"2026-08-16T00:25:41.089800Z","title":"Information and Software Technology , volume = 106, pages =","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":132,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.089800Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:a2073aff21f6ea06a633018e2648197def6bad99056096e26f5e05a9d8b9485c","observation_id":"cbd44a4b-8a3e-498b-a956-0077ff9121a9","resolution":{"observed_at":"2026-08-16T00:25:41.089800Z","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":"2026-08-16T00:25:41.092590Z","title":"Proceedings of the 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":133,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.092590Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:017f61fce8866fce319a668c4baf272e256936a00365a3e34b311f3895ccca53","observation_id":"23c9cd93-5dd9-41ae-bd7f-9a09cf9c8623","resolution":{"observed_at":"2026-08-16T00:25:41.092590Z","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":"10.1007/s10270-024-01235-4","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.039383Z","title":"Impromptu: a framework for model-driven prompt engineering , shorttitle =","venue":null,"work_id":"81bb8a69-3796-411a-bcf1-a619508e6668","year":2025},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":134,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.095920Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:591fcddef8f857a1dbeed3757653a9c99f0b9772f589ee98e064f1bc4cde551e","observation_id":"624fa706-af42-453f-b0ee-c9e8274159f1","resolution":{"observed_at":"2026-08-16T00:25:42.043789Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:41.100131Z","title":"ACM Trans","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":135,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.100131Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:e5a5dd359b72a874dca7d375edfd46ffded08d1ea1d3f0abe60df805b2a2f584","observation_id":"201ee65d-6f83-40d0-acd6-83bafc304b7b","resolution":{"observed_at":"2026-08-16T00:25:41.100131Z","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":"2026-08-16T00:25:41.103560Z","title":", year = 2023, month =","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":136,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.103560Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:150bf831815eac84966d036f8eb58cd4dac54ef27fab244c94c0ce2e7543935a","observation_id":"dfefe4be-88f2-4478-8fd1-fe6c4bfb7afa","resolution":{"observed_at":"2026-08-16T00:25:41.103560Z","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":"2026-08-16T00:25:41.106528Z","title":"and Santos, Wylliams B","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":137,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.106528Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:11584e1341ca2e31f55ff8684b615a8d791f563b04d021a9579b274f82db685b","observation_id":"a441e0b2-1026-46ae-9236-d488136fc99b","resolution":{"observed_at":"2026-08-16T00:25:41.106528Z","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":"2026-08-16T00:25:41.109919Z","title":"and Lo, David , year = 2024, month =","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":138,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.109919Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:44f5fc39cfd3f18fa3075c818737ffd1b3cfc1e4d5e9b827883405cb3407c923","observation_id":"5e705b2a-6373-4d38-bd6d-051d0584303c","resolution":{"observed_at":"2026-08-16T00:25:41.109919Z","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":"2026-08-16T00:25:41.113327Z","title":"Survey of","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":139,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.113327Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:37ce964b24663156bf19e33f6dad40d5fb6cea3c6429ad5a3c507d1957366ac4","observation_id":"a3f418fe-1b5f-45bf-b972-fdca502d1253","resolution":{"observed_at":"2026-08-16T00:25:41.113327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11912","last_updated":"2024-07-14T09:14:30Z","snapshot_observed_at":"2026-08-16T13:42:30.814140Z","submitted_at":"2024-06-16T17:57:48Z","title":"AgileCoder: Dynamic Collaborative Agents for Software Development based on Agile Methodology","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.11912","snapshot_observed_at":"2026-08-16T00:25:41.116288Z","title":"and Bui, Nghi D","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":140,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.116288Z"},"links":{"cited_paper":"/paper/2406.11912","citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:e15b7932a523a9bcd78bf9678b30bc7eda5edbd88f3c45f1dcb6b5144ea58492","observation_id":"c0644f4b-f03a-4184-84b2-b2fc657bf327","resolution":{"observed_at":"2026-08-16T00:25:41.116288Z","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":"2026-08-16T00:25:41.119431Z","title":"and Baxter, Daniel P","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":141,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.119431Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:9c05044caab7563b31178c95fd744c592d08f311632a3b93facc1a308c162bd1","observation_id":"1ef4ed7b-6796-41f6-8287-be15d6ca4388","resolution":{"observed_at":"2026-08-16T00:25:41.119431Z","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":"10.1201/9781003048367-33","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:25:42.016342Z","title":null,"venue":null,"work_id":"2169adcc-84ac-402a-a3be-8ecc63651f7c","year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":142,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.122743Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:fddffff6f2f5436bc489cfc4f5ff3f72939b4be4cbce5e2a5da6dd3f18e12ee0","observation_id":"e7daa066-df62-49f0-b0f6-148aa8cf6c0f","resolution":{"observed_at":"2026-08-16T00:25:42.020111Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-16T00:25:41.125802Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":143,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.125802Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:a034357848545cde9450b8f1511595b68e09d08d44bc794897f51c0277799f25","observation_id":"a272d28b-4787-4bad-9272-9e0d5192073f","resolution":{"observed_at":"2026-08-16T00:25:41.125802Z","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":"2026-08-16T00:25:41.128843Z","title":"Introducing","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":144,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.128843Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:66de1957ecddc6f7b58969939572daaf11d7abeb217aaa9d19a792587a5dce10","observation_id":"02d9904f-546d-45e0-936d-21f409a28bb3","resolution":{"observed_at":"2026-08-16T00:25:41.128843Z","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":"2026-08-16T00:25:41.132550Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report","version":1},"reference_index":145,"source":"arxiv_source","source_observed_at":"2026-08-16T00:25:41.132550Z"},"links":{"citing_paper":"/paper/2608.11965"},"observation_digest":"sha256:2779be6eb1b5a43be10bf2c35beac9c67449f4ba81388e5684ed657518699550","observation_id":"452349ee-cc28-4f0b-aed3-7a472ebddb62","resolution":{"observed_at":"2026-08-16T00:25:41.132550Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2608.11965","last_updated":"2026-08-12T11:53:44Z","latest_version":1,"primary_category":"cs.SE","snapshot_observed_at":"2026-08-16T13:45:40.401290Z","submitted_at":"2026-08-12T11:53:44Z","title":"Developing LLM-based Multi-Agent Systems in Software Engineering: A Mixed-Method Experience Report"},"reference_resolution":{"displayed":100,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":92,"verified_exact":8,"verified_fuzzy":0},"total_outbound_references":251},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 100 of 251 outbound references and 0 inbound Pith citation observations for arXiv:2608.11965."}