{"as_of":"2026-08-24T02:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3aec394b35d2dc4706aec124e8ceede3c4e57fac7d86aaf0baa733a4ecb54695","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":58,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T01:04:43.345621Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-07-10T20:57:34.565736Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2408.08435","last_updated":"2025-03-02T05:13:28Z","snapshot_observed_at":"2026-08-06T11:45:45.286982Z","submitted_at":"2024-08-15T21:59:23Z","title":"Automated Design of Agentic Systems","version":2},"reference_index":195,"source":"arxiv_source","source_observed_at":"2026-05-15T08:07:54.611771Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2408.08435"},"observation_digest":"sha256:fcf45d385e39bc69483f5b71db547c778108fd10352f00a1284d581ca7150310","observation_id":"4e063a83-07e5-4631-811a-103139784ec3","resolution":{"observed_at":"2026-05-15T08:07:54.903860Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-11T22:18:29.703838Z","title":"Scal- ing large-language-model-based multi-agent collabo- ration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.03563","last_updated":"2024-12-04T18:56:37Z","snapshot_observed_at":"2026-08-14T12:20:48.405957Z","submitted_at":"2024-12-04T18:56:37Z","title":"From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T22:18:29.703838Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2412.03563"},"observation_digest":"sha256:7265145afb082392a30988557720b9c4a4e63a1ffec31b825f1e4e2dec579b5c","observation_id":"f6f98495-7fab-4ca6-be00-5ff63308038d","resolution":{"observed_at":"2026-08-11T22:18:29.703838Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-11T14:44:21.520154Z","title":"Advances in neural in- formation processing systems, 35:27730–27744","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.11716","last_updated":"2025-06-07T02:01:42Z","snapshot_observed_at":"2026-08-16T04:36:05.496689Z","submitted_at":"2024-12-16T12:36:47Z","title":"LLMs Can Simulate Standardized Patients via Agent Coevolution","version":2},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-11T14:44:21.520154Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2412.11716"},"observation_digest":"sha256:0351e2e20f3ab237a2ec4d9bf51b754c696da6fc1966d2bbf98ce1c9b717192e","observation_id":"7c7af22b-28b8-43c7-9260-a9c1424d6b41","resolution":{"observed_at":"2026-08-11T14:44:21.520154Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-11T10:39:11.645750Z","title":"Scaling large-language- model-based multi-agent collaboration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16434","last_updated":"2024-12-21T01:48:52Z","snapshot_observed_at":"2026-08-14T22:32:34.949037Z","submitted_at":"2024-12-21T01:48:52Z","title":"SYMPHONY: Improving Memory Management for LLM Inference Workloads","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T10:39:11.645750Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2412.16434"},"observation_digest":"sha256:bd9ae5c99d6838f9fb5329032be05a73786c797f85dff682a61b4b212857731e","observation_id":"1d058dc3-56d3-4762-86aa-a321f520d7f9","resolution":{"observed_at":"2026-08-11T10:39:11.645750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-11T05:29:24.555898Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.17481","last_updated":"2025-01-07T12:48:22Z","snapshot_observed_at":"2026-08-15T07:26:49.037180Z","submitted_at":"2024-12-23T11:11:51Z","title":"A Survey on LLM-based Multi-Agent System: Recent Advances and New Frontiers in Application","version":2},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-11T05:29:24.555898Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2412.17481"},"observation_digest":"sha256:bac7f57622955b9e630375abea2b891341e9c6556fec2729beb1e31675390c97","observation_id":"08743a7f-314e-49d4-b35d-8b88142b1714","resolution":{"observed_at":"2026-08-11T05:29:24.555898Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-10T20:37:40.413897Z","title":"Scaling large-language-model-based multi-agent col- laboration, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.07834","last_updated":"2025-02-23T06:20:37Z","snapshot_observed_at":"2026-08-14T08:41:57.728063Z","submitted_at":"2025-01-14T04:35:37Z","title":"Flow: Modularized Agentic Workflow Automation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-10T20:37:40.413897Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2501.07834"},"observation_digest":"sha256:5080f9a838d1c6f2f48fac5d0e06ba5fb0a4d11e1a24f1f134a59a6db2053bb5","observation_id":"cc82050f-3e62-4cc6-bd5c-2a17351cecc1","resolution":{"observed_at":"2026-08-10T20:37:40.413897Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-10T19:29:51.398532Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.10062","last_updated":"2025-07-21T10:51:55Z","snapshot_observed_at":"2026-08-15T20:49:13.070260Z","submitted_at":"2025-01-17T09:27:08Z","title":"OMoE: Diversifying Mixture of Low-Rank Adaptation by Orthogonal Finetuning","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-10T19:29:51.398532Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2501.10062"},"observation_digest":"sha256:cc07321609f812263002ac176e7542c79261759d74d4cd3a27efe31b966d4f40","observation_id":"64b9bffb-2e44-4a29-9ca4-685fe772b8e2","resolution":{"observed_at":"2026-08-10T19:29:51.398532Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T23:44:11.285875Z","title":", Xie, Z","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.08788","last_updated":"2025-06-21T09:22:22Z","snapshot_observed_at":"2026-08-21T05:49:06.760387Z","submitted_at":"2025-02-12T21:01:10Z","title":"Stop Overvaluing Multi-Agent Debate -- We Must Rethink Evaluation and Embrace Model Heterogeneity","version":3},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T23:44:11.285875Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2502.08788"},"observation_digest":"sha256:cab14476cc07d09e31e90a338dbb90618b4e45e55c43646fbb60d16164ac4b29","observation_id":"9a6f0698-3e75-4ef9-aa55-778ed35eb873","resolution":{"observed_at":"2026-08-07T23:44:11.285875Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-16T01:04:43.345621Z","title":"Scaling Large-Language-Model-based Multi-Agent Collaboration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02133","last_updated":"2025-05-04T14:44:27Z","snapshot_observed_at":"2026-08-20T08:48:09.878191Z","submitted_at":"2025-05-04T14:44:27Z","title":"Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T01:04:43.345621Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2505.02133"},"observation_digest":"sha256:ea10b4fe1cd275f66e340ebe579b45f871bfee1fdfd1437e930440abe573e2c2","observation_id":"397b354b-bcfc-42e0-a65e-f567584cbd13","resolution":{"observed_at":"2026-08-16T01:04:43.345621Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T13:00:08.460220Z","title":"Scaling large-language-model-based multi-agent collab- oration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.22967","last_updated":"2025-05-29T01:08:36Z","snapshot_observed_at":"2026-08-16T13:55:34.491384Z","submitted_at":"2025-05-29T01:08:36Z","title":"MermaidFlow: Redefining Agentic Workflow Generation via Safety-Constrained Evolutionary Programming","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T13:00:08.460220Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2505.22967"},"observation_digest":"sha256:41d286071ebe5d6fcd57abf3f2b2726f2b59c30f01f17f99baa513c40b4739d1","observation_id":"02dd799e-f40b-42c7-98ec-665ffb35562b","resolution":{"observed_at":"2026-08-07T13:00:08.460220Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T12:35:45.609031Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24239","last_updated":"2025-05-30T05:57:37Z","snapshot_observed_at":"2026-08-12T13:04:17.713635Z","submitted_at":"2025-05-30T05:57:37Z","title":"An Adversary-Resistant Multi-Agent LLM System via Credibility Scoring","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:35:45.609031Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2505.24239"},"observation_digest":"sha256:6667c485fda946520c2828483e2ac741cc0da70f70e4184e29514179670e8ce6","observation_id":"30b3bc0a-0d7c-4f1e-beb5-e3336b167087","resolution":{"observed_at":"2026-08-07T12:35:45.609031Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T11:18:44.814064Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.02951","last_updated":"2025-07-23T03:40:09Z","snapshot_observed_at":"2026-08-14T00:03:14.534757Z","submitted_at":"2025-06-03T14:46:00Z","title":"Adaptive Graph Pruning for Multi-Agent Communication","version":3},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T11:18:44.814064Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2506.02951"},"observation_digest":"sha256:7b611b856d62f25de06701fa4d6c5de2de57f9bb52a0d8d23a22a32071408dbb","observation_id":"46d18bc3-19de-430f-8fe0-6b452a4a6a73","resolution":{"observed_at":"2026-08-07T11:18:44.814064Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T05:39:58.926732Z","title":"Scaling large-language-model-based multi-agent collab- oration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07398","last_updated":"2025-06-16T08:45:10Z","snapshot_observed_at":"2026-08-21T08:16:57.815719Z","submitted_at":"2025-06-09T03:43:46Z","title":"G-Memory: Tracing Hierarchical Memory for Multi-Agent Systems","version":2},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T05:39:58.926732Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2506.07398"},"observation_digest":"sha256:171c46f6309b2fb45fe176e529e45addd733a9c472d3780f2a21014ab3154ddc","observation_id":"38a7c79d-27cb-40b8-ac05-01c48e7ba905","resolution":{"observed_at":"2026-08-07T05:39:58.926732Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-07T05:07:40.309901Z","title":"Scaling large language model-based multi-agent collaboration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.00004","last_updated":"2025-07-10T17:08:40Z","snapshot_observed_at":"2026-08-17T13:53:41.674492Z","submitted_at":"2025-06-10T14:47:48Z","title":"A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search","version":2},"reference_index":195,"source":"pdf_text","source_observed_at":"2026-08-07T05:07:40.309901Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.00004"},"observation_digest":"sha256:a481e88ac93980dd33b91591f728656535c870df4825ef47df52679f000e5878","observation_id":"a8ec7dad-02f7-4f58-b7b4-e443619600e0","resolution":{"observed_at":"2026-08-07T05:07:40.309901Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T21:03:40.135848Z","title":"arXiv preprint (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.01231","last_updated":"2025-07-01T23:10:02Z","snapshot_observed_at":"2026-08-17T19:24:09.546019Z","submitted_at":"2025-07-01T23:10:02Z","title":"Rethinking the Illusion of Thinking","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T21:03:40.135848Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.01231"},"observation_digest":"sha256:5ae44208db483cdeed12a7512da8c336d1fb16c6a5c88e7dd8850b9255abb989","observation_id":"da5974b3-9768-4fee-8861-ab9ed33e2b0b","resolution":{"observed_at":"2026-08-06T21:03:40.135848Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T18:18:06.578810Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.08616","last_updated":"2025-07-11T14:13:22Z","snapshot_observed_at":"2026-08-17T22:35:33.284853Z","submitted_at":"2025-07-11T14:13:22Z","title":"AgentsNet: Coordination and Collaborative Reasoning in Multi-Agent LLMs","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T18:18:06.578810Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.08616"},"observation_digest":"sha256:d59b2797b98940b1ad2e4d47af8cec4b73c9420367d205bb722a60acd97cb543","observation_id":"35cf925a-c8d6-4eaa-9137-6e478b0d1268","resolution":{"observed_at":"2026-08-06T18:18:06.578810Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T15:48:36.258671Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.14969","last_updated":"2025-07-20T13:59:00Z","snapshot_observed_at":"2026-08-18T14:02:45.522162Z","submitted_at":"2025-07-20T13:59:00Z","title":"Think Like an Engineer: A Neuro-Symbolic Collaboration Agent for Generative Software Requirements Elicitation and Self-Review","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-06T15:48:36.258671Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.14969"},"observation_digest":"sha256:bf3afebc2a32f0d817783d95025b6dea90d83a920b28c8cacb6b7cb52f3b1a8a","observation_id":"e7adc9e1-e33e-4b3b-9b9e-24354440d12d","resolution":{"observed_at":"2026-08-06T15:48:36.258671Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T15:28:35.942566Z","title":"Scaling large-language-model-based multi-agent collaboration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.15770","last_updated":"2025-07-21T16:26:49Z","snapshot_observed_at":"2026-08-17T23:20:17.956905Z","submitted_at":"2025-07-21T16:26:49Z","title":"A Framework for Analyzing Abnormal Emergence in Service Ecosystems Through LLM-based Agent Intention Mining","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T15:28:35.942566Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.15770"},"observation_digest":"sha256:2a62c2f63f81ccfa4b32e183f875cb79e1741e3b86a91beb4d38c68096d9dc42","observation_id":"bb057ef9-2cdc-41d5-91f1-af1b4c0088f1","resolution":{"observed_at":"2026-08-06T15:28:35.942566Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T10:55:14.966836Z","title":"Scaling large-language-model-based multi-agent collaboration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.23276","last_updated":"2025-08-01T12:49:36Z","snapshot_observed_at":"2026-08-18T13:29:43.194474Z","submitted_at":"2025-07-31T06:32:06Z","title":"How Far Are AI Scientists from Changing the World?","version":2},"reference_index":134,"source":"arxiv_source","source_observed_at":"2026-08-06T10:55:14.966836Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.23276"},"observation_digest":"sha256:8a3924dcdcf91adddd65a532eeb192ce987a88b62b8538763bd1f6f0b1f7ec71","observation_id":"51818bca-391b-4fb8-bed8-0a132205ad25","resolution":{"observed_at":"2026-08-06T10:55:14.966836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T10:55:23.844439Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.23348","last_updated":"2025-07-31T08:54:46Z","snapshot_observed_at":"2026-08-14T07:31:06.428492Z","submitted_at":"2025-07-31T08:54:46Z","title":"SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T10:55:23.844439Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2507.23348"},"observation_digest":"sha256:0580a7a3916ec9f05fb4cb696be26f792b8720b18ca0e7d7f6a2513945dfb034","observation_id":"07bd700f-342d-47c1-87d1-8e3f97cbcf41","resolution":{"observed_at":"2026-08-06T10:55:23.844439Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-06T04:32:30.338018Z","title":"Scaling large language model-based multi-agent collaboration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.03444","last_updated":"2025-08-05T13:41:32Z","snapshot_observed_at":"2026-08-12T14:58:57.753700Z","submitted_at":"2025-08-05T13:41:32Z","title":"An Auditable Agent Platform For Automated Molecular Optimisation","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-06T04:32:30.338018Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2508.03444"},"observation_digest":"sha256:e2c117620b5b7418552ac46cbb9a27b88d853a58d9f895ce3a09799cc9e8f47a","observation_id":"47eac6f5-16c5-41df-89b7-5e4f098dc95b","resolution":{"observed_at":"2026-08-06T04:32:30.338018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-05T18:55:33.644816Z","title":"Scaling large language model-based multi-agent collaboration","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.13787","last_updated":"2025-08-19T12:43:49Z","snapshot_observed_at":"2026-08-11T23:48:28.258354Z","submitted_at":"2025-08-19T12:43:49Z","title":"BetaWeb: Towards a Blockchain-enabled Trustworthy Agentic Web","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-05T18:55:33.644816Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2508.13787"},"observation_digest":"sha256:bdad765e068e3ace2d02b0cd3835ed7ff80db1fdb30e2527ab78ad01c0791549","observation_id":"06be6b13-7064-4031-a3d4-bdeaa78d4599","resolution":{"observed_at":"2026-08-05T18:55:33.644816Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2510.07799","last_updated":"2026-05-16T23:46:00Z","snapshot_observed_at":"2026-08-16T04:59:09.972995Z","submitted_at":"2025-10-09T05:28:28Z","title":"Dynamic Generation of Multi-LLM Agents Communication Topologies with Graph Diffusion Models","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-21T20:40:13.721163Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2510.07799"},"observation_digest":"sha256:f00e4f99e94ed2e16da5a676c6427d3f77b39433ffb24039055c59a4b2fb1fe5","observation_id":"27e484de-8dc5-496e-b916-491477266802","resolution":{"observed_at":"2026-05-21T20:40:35.663788Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-04T06:57:15.395204Z","title":"arXiv preprint arXiv:2406.07155","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2510.27568","last_updated":"2026-06-18T02:08:20Z","snapshot_observed_at":"2026-08-14T08:23:37.617227Z","submitted_at":"2025-10-31T15:51:00Z","title":"SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-04T06:57:15.395204Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2510.27568"},"observation_digest":"sha256:f9f7fc6162911535af89d4cd756eaf8169bd8deb525eed09c84399f2642082ff","observation_id":"c49e4416-ce9b-4b07-b645-740a053da911","resolution":{"observed_at":"2026-08-04T06:57:15.395204Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-04T00:16:18.617958Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.02200","last_updated":"2026-07-06T06:58:54Z","snapshot_observed_at":"2026-08-18T20:45:45.405206Z","submitted_at":"2025-11-04T02:41:14Z","title":"Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-04T00:16:18.617958Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2511.02200"},"observation_digest":"sha256:4c71af86600a15fcfe223ae92063777f366bb645d333bf850b4de93a50b7df9d","observation_id":"fed071f6-22fb-4622-b053-12152a4ac549","resolution":{"observed_at":"2026-08-04T00:16:18.617958Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2511.20857","last_updated":"2026-05-18T16:18:02Z","snapshot_observed_at":"2026-08-20T12:55:17.970132Z","submitted_at":"2025-11-25T21:08:07Z","title":"Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-05-14T23:13:15.016486Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2511.20857"},"observation_digest":"sha256:3f378a83c917ae40a87de96f772ae460debaebcafd95b40191e6507368e8f42f","observation_id":"c5564d55-916c-4334-a9ff-7bea1cefe3f7","resolution":{"observed_at":"2026-05-14T23:13:16.186511Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-03T10:39:49.856835Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2601.09515","last_updated":"2026-07-25T15:57:13Z","snapshot_observed_at":"2026-08-19T03:14:55.826378Z","submitted_at":"2026-01-14T14:31:16Z","title":"SERM: Self-Evolving Relevance Model with Agent-Driven Learning from Massive Query Streams","version":3},"reference_index":2022,"source":"pdf_text","source_observed_at":"2026-08-03T10:39:49.856835Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2601.09515"},"observation_digest":"sha256:0a36eca0f71be670d8a3fd4e3c8ad967f48ccf40ce4b0c551c567bfe4e045e7a","observation_id":"a3721442-972d-4a4a-8ec4-94e8bfb6be61","resolution":{"observed_at":"2026-08-03T10:39:49.856835Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-03T09:21:40.335251Z","title":"Scaling large language model-based multi-agent collaboration.arXiv preprint arXiv:2406.07155, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2601.14192","last_updated":"2026-07-03T11:26:58Z","snapshot_observed_at":"2026-08-20T13:01:24.661226Z","submitted_at":"2026-01-20T17:51:56Z","title":"Toward Efficient Agents: Memory, Tool learning, and Planning","version":2},"reference_index":91,"source":"pdf_text","source_observed_at":"2026-08-03T09:21:40.335251Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2601.14192"},"observation_digest":"sha256:e32f31bede17661c56871a439013ff03315d723f9645941deda55cf227fed8ee","observation_id":"19c19a19-f081-4ce8-b363-75da2db9b538","resolution":{"observed_at":"2026-08-03T09:21:40.335251Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-14T22:25:15.261445Z","title":"Scaling large language model-based multi-agent collaboration.arXiv preprint arXiv:2406.07155, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.12235","last_updated":"2026-06-30T10:27:28Z","snapshot_observed_at":"2026-08-15T05:55:43.870566Z","submitted_at":"2026-03-12T17:53:33Z","title":"Transition from Statistical to Hardware-Limited Scaling in Photonic Quantum State Reconstruction","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-07-14T22:25:15.261445Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2603.12235"},"observation_digest":"sha256:650968dc1c454864a0883e37396e0b0f498ae3e480ef0778c41554c2309c9f61","observation_id":"2233a5d5-cfed-4c81-bc4a-150520ad661c","resolution":{"observed_at":"2026-07-14T22:25:15.261445Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-13T20:49:09.477849Z","title":"Megaagent: A large-scale autonomous llm-based multi-agent system without predefined sops","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2603.21489","last_updated":"2026-07-08T16:30:55Z","snapshot_observed_at":"2026-08-15T20:58:05.925054Z","submitted_at":"2026-03-23T02:26:35Z","title":"Effective Strategies for Asynchronous Software Engineering Agents","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-07-13T20:49:09.477849Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2603.21489"},"observation_digest":"sha256:fd265a3fad8c3ec819b064395b27fd6b3f4e7a2dd87da92d17a2228d0aa8ddd6","observation_id":"4fd790ff-6fc4-4259-9496-b4f5d2729899","resolution":{"observed_at":"2026-07-13T20:49:09.477849Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.02334","last_updated":"2026-01-18T13:09:25Z","snapshot_observed_at":"2026-08-12T12:32:24.092224Z","submitted_at":"2026-01-18T13:09:25Z","title":"Holos: A Web-Scale LLM-Based Multi-Agent System for the Agentic Web","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-16T13:19:07.715653Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.02334"},"observation_digest":"sha256:fade9e95efc47148e3dba3f637bfe0811a04253ee1d85dacbcafa520ae0ecb99","observation_id":"c55c5576-8e52-4780-86ef-a811c5d96185","resolution":{"observed_at":"2026-05-16T13:20:57.944846Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.02674","last_updated":"2026-04-03T03:08:07Z","snapshot_observed_at":"2026-08-13T01:05:22.718284Z","submitted_at":"2026-04-03T03:08:07Z","title":"Do Agent Societies Develop Intellectual Elites? The Hidden Power Laws of Collective Cognition in LLM Multi-Agent Systems","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-05-13T19:11:52.387623Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.02674"},"observation_digest":"sha256:418ab29b65a1b5db6e1ee7d3aa38367f91d61d06f7495fce2696c860a61db0df","observation_id":"f60681d0-3353-46c5-8345-00e23a5892ca","resolution":{"observed_at":"2026-05-13T19:13:09.680226Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.03295","last_updated":"2026-03-27T19:34:23Z","snapshot_observed_at":"2026-08-12T20:56:43.507663Z","submitted_at":"2026-03-27T19:34:23Z","title":"Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-14T22:42:43.070265Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.03295"},"observation_digest":"sha256:7c43dcc0ead82087d7484a1b1015743b8453171420f364cdaadd42134b44c579","observation_id":"7235fedb-02ae-4a49-94e5-11bd176e646d","resolution":{"observed_at":"2026-05-14T22:43:12.041790Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.13559","last_updated":"2026-04-15T07:07:30Z","snapshot_observed_at":"2026-08-17T23:56:55.902554Z","submitted_at":"2026-04-15T07:07:30Z","title":"WebMAC: A Multi-Agent Collaborative Framework for Scenario Testing of Web Systems","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-10T13:41:03.668751Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.13559"},"observation_digest":"sha256:082b783ab1199cb509edfb2309f8b08713dd17fde5762bb5f28a7555b68e0a05","observation_id":"6573d4d2-0203-49f2-8b72-c589dfdca1cf","resolution":{"observed_at":"2026-05-10T13:45:28.433460Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.17503","last_updated":"2026-04-19T15:46:46Z","snapshot_observed_at":"2026-08-13T22:54:35.604766Z","submitted_at":"2026-04-19T15:46:46Z","title":"SkillGraph: Self-Evolving Multi-Agent Collaboration with Multimodal Graph Topology","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-10T05:23:34.996713Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.17503"},"observation_digest":"sha256:981fc293ede7b019a43a478b234254e4591e81d5cb472912a9802afeef932c33","observation_id":"fc8291d5-b970-45bf-9cbd-295be8b71da0","resolution":{"observed_at":"2026-05-10T05:25:55.043016Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.18133","last_updated":"2026-04-20T12:00:31Z","snapshot_observed_at":"2026-08-11T20:43:33.503498Z","submitted_at":"2026-04-20T12:00:31Z","title":"Multi-Agent Systems: From Classical Paradigms to Large Foundation Model-Enabled Futures","version":1},"reference_index":117,"source":"pdf_text","source_observed_at":"2026-05-10T04:31:28.242097Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.18133"},"observation_digest":"sha256:9c9b23568c0538db96b593a999f1f1057a27a3559f13e3d9e5ac10f4549dc1ff","observation_id":"f522d69b-d639-4c71-93c3-b10a566da070","resolution":{"observed_at":"2026-05-11T11:51:03.946358Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.22820","last_updated":"2026-08-21T09:25:29Z","snapshot_observed_at":"2026-08-24T01:10:23.981630Z","submitted_at":"2026-04-17T15:31:20Z","title":"Complete Cyclic Subtask Graphs for Tool-Using LLM Agents: Flexibility, Cost, and Bottlenecks in Long-Horizon Workflows","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-10T07:05:43.392997Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.22820"},"observation_digest":"sha256:0acd43f142ae518836329c0ab7b93f5d5e41ff513b8e33c857dbdcc1b6ae0c05","observation_id":"f9629207-420d-46d4-873e-ed414636b977","resolution":{"observed_at":"2026-05-10T07:06:52.847724Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2604.27221","last_updated":"2026-04-29T21:43:16Z","snapshot_observed_at":"2026-08-15T01:31:27.472212Z","submitted_at":"2026-04-29T21:43:16Z","title":"Web2BigTable: A Bi-Level Multi-Agent LLM System for Internet-Scale Information Search and Extraction","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-07T09:35:14.203293Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2604.27221"},"observation_digest":"sha256:8652374db3b9a09bfdc9d026b0423befe4e7a0beeb24f03e6c070df827e1bad3","observation_id":"5acabaf1-d28f-4917-b30f-13ace2f06254","resolution":{"observed_at":"2026-05-12T09:46:25.942136Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.02939","last_updated":"2026-05-01T07:57:49Z","snapshot_observed_at":"2026-07-06T23:15:55.848885Z","submitted_at":"2026-05-01T07:57:49Z","title":"From Static Analysis to Audience Dissemination: A Training-Free Multimodal Controversy Detection Multi-Agent Framework","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-09T20:26:09.112189Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.02939"},"observation_digest":"sha256:fdc702d91adc89c8e60385797abb2cb2a3efd34fde4746c1199aa76dca238808","observation_id":"20f03ba7-0e7b-4343-968a-8ed481e7940a","resolution":{"observed_at":"2026-05-11T15:16:06.885693Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.09076","last_updated":"2026-05-09T17:37:43Z","snapshot_observed_at":"2026-08-14T07:05:45.269791Z","submitted_at":"2026-05-09T17:37:43Z","title":"Robust Multi-Agent LLMs under Byzantine Faults","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-05-12T02:11:34.028189Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.09076"},"observation_digest":"sha256:64ea09914744845610641c794bb01807d7cd32deb90736034cae7d65e439f5dc","observation_id":"e6b02058-fe45-408f-aed5-b6325655bfe5","resolution":{"observed_at":"2026-05-12T07:42:07.162864Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.09278","last_updated":"2026-05-10T03:04:12Z","snapshot_observed_at":"2026-08-14T15:06:21.586001Z","submitted_at":"2026-05-10T03:04:12Z","title":"EquiMem: Calibrating Shared Memory in Multi-Agent Debate via Game-Theoretic Equilibrium","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-05-12T04:47:29.903343Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.09278"},"observation_digest":"sha256:3ff61dd4e106b1dd5e9691f09860c9a2d12068de9cd409d8eac453858decdba5","observation_id":"f4c9072a-8d9f-40d6-872e-927b173e6d00","resolution":{"observed_at":"2026-05-12T05:56:25.973559Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.09703","last_updated":"2026-05-10T18:51:34Z","snapshot_observed_at":"2026-08-15T01:26:32.766391Z","submitted_at":"2026-05-10T18:51:34Z","title":"MOTOR-Bench: A Real-world Dataset and Multi-agent Framework for Zero-shot Human Mental State Understanding","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-12T02:50:10.046572Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.09703"},"observation_digest":"sha256:f57b0a0bc53a47874ea4c4729e4fd7bcfc872d81b32d41fd81c8b683e3c55529","observation_id":"f9197c41-5a36-4223-b2ec-7e4bd8e4d5a0","resolution":{"observed_at":"2026-05-12T02:51:17.674665Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.13213","last_updated":"2026-05-13T09:06:21Z","snapshot_observed_at":"2026-08-15T01:00:50.191463Z","submitted_at":"2026-05-13T09:06:21Z","title":"Hierarchical Attacks for Multi-Modal Multi-Agent Reasoning","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-14T20:16:30.070819Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.13213"},"observation_digest":"sha256:fa79d1a65befcb98cd788751615685c7b3157de73c6284791045412ae2555dbd","observation_id":"0ed3ecae-687b-45da-9bd1-976a8068aaca","resolution":{"observed_at":"2026-05-14T20:19:27.944993Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.15706","last_updated":"2026-05-29T15:25:05Z","snapshot_observed_at":"2026-08-15T16:30:07.878123Z","submitted_at":"2026-05-15T07:54:46Z","title":"Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models","version":1},"reference_index":93,"source":"arxiv_source","source_observed_at":"2026-05-20T19:53:04.689519Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.15706"},"observation_digest":"sha256:21d91ffc8c3e9470f6463b8d5dae01064e07073f0f70cb187a94c4571eb4b9bd","observation_id":"69a9abeb-c119-440d-a03a-5d994b23be79","resolution":{"observed_at":"2026-05-20T19:53:42.238549Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.15706","last_updated":"2026-05-29T15:25:05Z","snapshot_observed_at":"2026-08-15T16:30:07.878123Z","submitted_at":"2026-05-15T07:54:46Z","title":"Differentiable Mixture-of-Agents Incentivizes Swarm Intelligence of Large Language Models","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-06-30T19:40:41.219923Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.15706"},"observation_digest":"sha256:7e30bf175bacd18c7a75a7380e5c3575f584649992467c86c691debf8e4aaefa","observation_id":"d3387b6e-daf9-4ae6-b9a8-856aeb879b66","resolution":{"observed_at":"2026-06-30T19:45:00.802879Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.17361","last_updated":"2026-07-09T07:36:31Z","snapshot_observed_at":"2026-08-15T21:54:16.502396Z","submitted_at":"2026-05-17T09:58:58Z","title":"MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-20T14:35:46.376752Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.17361"},"observation_digest":"sha256:b3382669551038dc951f1b0ba459cfe722cb4c9fd3e03289feb699984bb79846","observation_id":"c2b47912-12c8-4ef5-b711-c5dc5ce559b2","resolution":{"observed_at":"2026-05-20T14:38:21.606663Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-12T16:38:30.296706Z","title":"Scaling large language model-based multi-agent collaboration.arXiv preprint arXiv:2406.07155, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2605.17361","last_updated":"2026-07-09T07:36:31Z","snapshot_observed_at":"2026-08-15T21:54:16.502396Z","submitted_at":"2026-05-17T09:58:58Z","title":"MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T16:38:30.296706Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.17361"},"observation_digest":"sha256:733b680083fd4cc22a8e522f20344a01bb236bdb8a56b528fff1d8c869f456b0","observation_id":"0e6e8f10-57d7-4fef-8a8d-41073c315d93","resolution":{"observed_at":"2026-07-12T16:38:30.296706Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.26178","last_updated":"2026-05-25T06:41:11Z","snapshot_observed_at":"2026-08-14T12:27:31.506632Z","submitted_at":"2026-05-25T06:41:11Z","title":"ATOM: Instantiating Budget-Controllable Multi-Agent Collaboration via Nucleus-Electron Hierarchy","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-06-29T19:56:56.170263Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.26178"},"observation_digest":"sha256:32d6c5947750ed74e84a9b40fe7c4bfe616f426c6348eb54a0455105b88d4dea","observation_id":"1ed68421-5564-4ca7-99ef-c8c1559420c3","resolution":{"observed_at":"2026-06-29T20:03:56.334963Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2605.28334","last_updated":"2026-05-31T19:04:51Z","snapshot_observed_at":"2026-08-06T09:08:20.078173Z","submitted_at":"2026-05-27T11:37:18Z","title":"Towards Cybersecurity SuperIntelligence (CSI): What's the best harness for cybersecurity?","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-06-29T12:00:05.330178Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2605.28334"},"observation_digest":"sha256:29f4c9ec275b4b791b5fb1710259f8855ff63437571eed369be5887e36697bec","observation_id":"0af2df90-8a61-4c91-b6a8-ce4db4d8c698","resolution":{"observed_at":"2026-06-29T12:03:23.962454Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2606.09249","last_updated":"2026-07-20T13:18:45Z","snapshot_observed_at":"2026-08-17T23:23:04.010385Z","submitted_at":"2026-06-08T09:21:53Z","title":"DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-06-27T17:19:01.305646Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2606.09249"},"observation_digest":"sha256:6fab7bde7024fa94589c5aaff17ee66cf421e7bf0765c0ff2add6685f52f84c1","observation_id":"b3b1ab5c-e5f3-438d-80eb-1fc93b952a0c","resolution":{"observed_at":"2026-07-03T00:17:29.424011Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-02T12:01:45.934121Z","title":"arXiv preprint arXiv:2406.07155","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2606.09249","last_updated":"2026-07-20T13:18:45Z","snapshot_observed_at":"2026-08-17T23:23:04.010385Z","submitted_at":"2026-06-08T09:21:53Z","title":"DECIS: Dual-Evidence Corrective Verification for Interpretable Strabismus Diagnostic Decision-Making","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-02T12:01:45.934121Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2606.09249"},"observation_digest":"sha256:1f46e9aa3c31369ebf33f03570ba418220bb6a8c37982f5890fbd74d699051de","observation_id":"32e07ab8-b4e4-4d19-b80c-a261a1bcc944","resolution":{"observed_at":"2026-08-02T12:01:45.934121Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2606.22385","last_updated":"2026-06-21T08:22:23Z","snapshot_observed_at":"2026-08-01T18:23:09.613202Z","submitted_at":"2026-06-21T08:22:23Z","title":"MetaPS: Adaptive Programmatic Strategy Selection for Market Agents","version":1},"reference_index":128,"source":"arxiv_source","source_observed_at":"2026-06-26T11:06:28.690956Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2606.22385"},"observation_digest":"sha256:558ab185960c3f3808e867baa849973ab4f4977ae4c751c59231fbf7d9d11b2a","observation_id":"3354a8a0-5a43-4425-97f7-3c905c5b310a","resolution":{"observed_at":"2026-07-04T08:39:42.741221Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":"2406.07155","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-10T20:57:34.565736Z","title":"Yu Shang et al","venue":"cs.AI","work_id":"8c6b62a4-4ade-4a58-958c-9035f4524b6e","year":2024},"citing_paper":{"arxiv_id":"2607.06807","last_updated":"2026-07-07T21:12:27Z","snapshot_observed_at":"2026-08-17T03:24:12.985218Z","submitted_at":"2026-07-07T21:12:27Z","title":"When Agents Go Rogue: Activation-Based Detection of Malicious Behaviors in Multi-Agent Systems","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-07-10T20:55:21.031591Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2607.06807"},"observation_digest":"sha256:9d1741db31f5b5dd72e9ae97c0892bf8ee0b9f21ddc2933eba36fb808b4fb530","observation_id":"6bfcbace-c70b-442f-a65c-aed5ad95e5ba","resolution":{"observed_at":"2026-07-10T20:57:34.580097Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-02T15:18:55.095252Z","title":"Scaling large language model-based multi- agent collaboration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.18244","last_updated":"2026-04-29T13:14:00Z","snapshot_observed_at":"2026-08-17T04:58:52.085208Z","submitted_at":"2026-04-29T13:14:00Z","title":"Accelerating Heterogeneous Agent Collaboration in Dynamic Edge Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-02T15:18:55.095252Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2607.18244"},"observation_digest":"sha256:3601855bd5841da7c34d4f994e12405b87dafe959e4ffe2087f4b7ef058ec7cf","observation_id":"4f0136b4-0226-42dc-ba88-fd25d2051414","resolution":{"observed_at":"2026-08-02T15:18:55.095252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-07-31T22:43:12.101642Z","title":"Scaling large language model-based multi-agent collaboration,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.27942","last_updated":"2026-07-30T09:50:04Z","snapshot_observed_at":"2026-08-13T23:09:12.774754Z","submitted_at":"2026-07-30T09:50:04Z","title":"Scaling LLM-Driven Multi-Agent Systems: Design Principles and Architectural Scalability Analysis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-31T22:43:12.101642Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2607.27942"},"observation_digest":"sha256:9476c9278daf8536af420feb64ac2e1fbef3edc28483c6519fbfe6f67ffe2085","observation_id":"b1c600ea-2531-4de9-985c-a6ce2037ffbd","resolution":{"observed_at":"2026-07-31T22:43:12.101642Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-04T01:44:54.330656Z","title":"Scaling large language model-based multi-agent collaboration,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.00028","last_updated":"2026-07-14T20:35:17Z","snapshot_observed_at":"2026-08-07T10:01:12.234148Z","submitted_at":"2026-07-14T20:35:17Z","title":"Width, Memory, and Delay: A Resource Accounting for the Limits of Flat Multi-Agent Systems","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-04T01:44:54.330656Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2608.00028"},"observation_digest":"sha256:092a709aa3595ceeb693d231af3f67ff9f6d2cacf663ed0c757873e74f29f8e0","observation_id":"725ad8b3-3b17-48e2-aa33-3a8c620eb862","resolution":{"observed_at":"2026-08-04T01:44:54.330656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-05T15:25:39.458818Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03644","last_updated":"2026-08-04T13:29:00Z","snapshot_observed_at":"2026-08-18T16:50:46.109145Z","submitted_at":"2026-08-04T13:29:00Z","title":"Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-05T15:25:39.458818Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2608.03644"},"observation_digest":"sha256:71e5550e769e0aea5dff2b0c8d3a63c06ec5ce871bdb96d2ad1dfc3b17657a37","observation_id":"52f967cd-96c9-4aea-8096-ef153b775d10","resolution":{"observed_at":"2026-08-05T15:25:39.458818Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.07155","snapshot_observed_at":"2026-08-15T14:31:57.734487Z","title":"Scaling large language model-based multi-agent collabora- tion.arXiv preprint arXiv:2406.07155, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09251","last_updated":"2026-08-10T08:11:24Z","snapshot_observed_at":"2026-08-20T11:20:44.364595Z","submitted_at":"2026-08-10T08:11:24Z","title":"MoRSE: Task-Oriented Multi-Agent System with Mixture of Role-Subtask Experts","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:57.734487Z"},"links":{"cited_paper":"/paper/2406.07155","citing_paper":"/paper/2608.09251"},"observation_digest":"sha256:dec57f52889bd69dc370f2317cdd95062a24d518d93058a82d9722eaf838ee5e","observation_id":"255e9042-f7e0-4909-a017-237f1d3efea9","resolution":{"observed_at":"2026-08-15T14:31:57.734487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.07155/citation-record","integrity":"/paper/2406.07155/integrity","json":"/paper/2406.07155/citation-record.json","paper":"/paper/2406.07155"},"outbound":[],"paper":{"arxiv_id":"2406.07155","last_updated":"2025-03-17T00:22:42Z","latest_version":3,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T21:56:01.787149Z","submitted_at":"2024-06-11T11:02:04Z","title":"Scaling Large Language Model-based Multi-Agent Collaboration"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 58 inbound Pith citation observations for arXiv:2406.07155."}