{"as_of":"2026-08-16T18:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6641a12dab4657671965e8686484cd296f77377d0a20c9f7c9ba78aae802187a","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:17:03.483782Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T15:15:16.676923Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-11T22:18:34.494227Z","title":"Very large-scale multi-agent simula- tion in agentscope","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":266,"source":"pdf_text","source_observed_at":"2026-08-11T22:18:34.494227Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2412.03563"},"observation_digest":"sha256:471c772e3ea7fcbcb518864a68dfa680aefec19f92a20fda3897f04282fd979c","observation_id":"6ff0edb0-8402-4aa6-8378-04885a0b0263","resolution":{"observed_at":"2026-08-11T22:18:34.494227Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-11T05:29:24.528601Z","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":52,"source":"arxiv_source","source_observed_at":"2026-08-11T05:29:24.528601Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2412.17481"},"observation_digest":"sha256:e52c5afc03741f7469dadeeebb342ecb30def0580262b6ad0d49341246af7e68","observation_id":"e7ecb434-0d01-47d7-bcda-209621d7b900","resolution":{"observed_at":"2026-08-11T05:29:24.528601Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-10T22:36:01.026321Z","title":"Very large-scale multi-agent simulation in agentscope,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.01205","last_updated":"2025-01-02T11:25:45Z","snapshot_observed_at":"2026-08-11T16:13:00.485467Z","submitted_at":"2025-01-02T11:25:45Z","title":"Harnessing Multi-Agent LLMs for Complex Engineering Problem-Solving: A Framework for Senior Design Projects","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-10T22:36:01.026321Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2501.01205"},"observation_digest":"sha256:c2a56faac28dc5d83c72ca47d40e1ecfe391ab137dea37ce2e726b1114a0127e","observation_id":"31ee44f2-1294-43cc-8778-7c0c625921fe","resolution":{"observed_at":"2026-08-10T22:36:01.026321Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-15T22:17:03.483782Z","title":"Very large-scale multi-agent simulation in agentscope","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.07581","last_updated":"2025-08-26T08:03:56Z","snapshot_observed_at":"2026-08-16T10:46:08.412626Z","submitted_at":"2025-05-12T14:05:17Z","title":"YuLan-OneSim: Towards the Next Generation of Social Simulator with Large Language Models","version":3},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-15T22:17:03.483782Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2505.07581"},"observation_digest":"sha256:f56d1ccd23727574be4dd7c591fa7b375453066a0e30f9f19ef404e660dad337","observation_id":"f7da07c5-04ea-40df-a45f-59c9712ae3d2","resolution":{"observed_at":"2026-08-15T22:17:03.483782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-06T18:45:42.266656Z","title":"Very large-scale multi-agent simulation in agentscope","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.07400","last_updated":"2025-07-10T03:39:23Z","snapshot_observed_at":"2026-08-14T00:46:54.019135Z","submitted_at":"2025-07-10T03:39:23Z","title":"KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T18:45:42.266656Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2507.07400"},"observation_digest":"sha256:adb9e5b6a022b42fadd9b2dc87e3cd86f7353604d231cb3455aadfbcdfff37d9","observation_id":"7c2ce70a-94c3-4c42-affe-fe97b883e641","resolution":{"observed_at":"2026-08-06T18:45:42.266656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-05T18:55:33.619713Z","title":"Very large-scale multi-agent simulation in agentscope","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":60,"source":"arxiv_source","source_observed_at":"2026-08-05T18:55:33.619713Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2508.13787"},"observation_digest":"sha256:0c15a5dbbebc9ce237f6b59faf639eb45551d3640f88a47f615a000cfbe6a70a","observation_id":"c59ec365-6441-4b4e-8af8-2eddae0dd068","resolution":{"observed_at":"2026-08-05T18:55:33.619713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-08-05T17:26:29.032754Z","title":"Very large-scale multi-agent simulation in agentscope","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16279","last_updated":"2025-08-22T10:35:56Z","snapshot_observed_at":"2026-08-16T14:35:15.039195Z","submitted_at":"2025-08-22T10:35:56Z","title":"AgentScope 1.0: A Developer-Centric Framework for Building Agentic Applications","version":1},"reference_index":98,"source":"arxiv_source","source_observed_at":"2026-08-05T17:26:29.032754Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2508.16279"},"observation_digest":"sha256:f91e3a68eb089413e3822434c39996086b096f773036daf75afddb744a48f123","observation_id":"b8e2e246-4e89-4442-9d8d-5b9af6c3dfaf","resolution":{"observed_at":"2026-08-05T17:26:29.032754Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope","version":2},"cited_work":{"arxiv_id":"2407.17789","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2407.17789","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"ade6347c-2f01-43aa-91df-5b468d671909","year":2024},"citing_paper":{"arxiv_id":"2601.08118","last_updated":"2026-05-17T19:02:46Z","snapshot_observed_at":"2026-08-16T18:11:47.222957Z","submitted_at":"2026-01-13T01:16:13Z","title":"MirrorBench: A Benchmark to Evaluate Conversational User-Proxy Agents for Human-Likeness","version":3},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T15:14:55.551856Z"},"links":{"cited_paper":"/paper/2407.17789","citing_paper":"/paper/2601.08118"},"observation_digest":"sha256:d3a955efb4230a8d7f767c77435e06035b3849a6b4a68391619d836238f006d7","observation_id":"68e4dae3-af98-49db-872d-34d1b546db43","resolution":{"observed_at":"2026-05-21T15:15:16.678764Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2407.17789/citation-record","integrity":"/paper/2407.17789/integrity","json":"/paper/2407.17789/citation-record.json","paper":"/paper/2407.17789"},"outbound":[],"paper":{"arxiv_id":"2407.17789","last_updated":"2024-10-28T13:19:38Z","latest_version":2,"primary_category":"cs.MA","snapshot_observed_at":"2026-08-16T13:31:13.150986Z","submitted_at":"2024-07-25T05:50:46Z","title":"Very Large-Scale Multi-Agent Simulation in AgentScope"},"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":"2026-08-16T06:30:59.297886+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 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2407.17789."}