{"as_of":"2026-08-05T02:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ff9118939193a60e6ed490de4c8966b8f7e1dcb1f934b9f50b05e0c627362dab","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-04T06:34:03.388597+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-30T07:36:53.929220Z","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":"2026-06-30T07:44:22.186014Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.04360","last_updated":"2025-07-04T03:07:07Z","snapshot_observed_at":"2026-07-06T19:28:30.731752Z","submitted_at":"2024-10-06T05:02:23Z","title":"GenSim: A General Social Simulation Platform with Large Language Model based Agents","version":3},"cited_work":{"arxiv_id":"2410.04360","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04360","snapshot_observed_at":"2026-06-30T07:44:22.186014Z","title":"Gensim: A general social simulation platform with large language model based agents","venue":null,"work_id":"09289567-28cd-4734-a2f6-953a32af7071","year":2024},"citing_paper":{"arxiv_id":"2502.08691","last_updated":"2026-04-10T15:11:22Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-12T15:27:07Z","title":"AgentSociety: Large-Scale Simulation of LLM-Driven Generative Agents Advances Understanding of Human Behaviors and Society","version":2},"reference_index":94,"source":"pdf_text","source_observed_at":"2026-05-23T04:08:36.292592Z"},"links":{"cited_paper":"/paper/2410.04360","citing_paper":"/paper/2502.08691"},"observation_digest":"sha256:a2082960766220841e3902f1f02bb11425667c2c5b6f20a829adfcfd7d39bd00","observation_id":"81539e74-0e33-4385-8154-d903c06bb8ef","resolution":{"observed_at":"2026-05-23T04:12:30.885188Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04360","last_updated":"2025-07-04T03:07:07Z","snapshot_observed_at":"2026-07-06T19:28:30.731752Z","submitted_at":"2024-10-06T05:02:23Z","title":"GenSim: A General Social Simulation Platform with Large Language Model based Agents","version":3},"cited_work":{"arxiv_id":"2410.04360","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04360","snapshot_observed_at":"2026-06-30T07:44:22.186014Z","title":"Gensim: A general social simulation platform with large language model based agents","venue":null,"work_id":"09289567-28cd-4734-a2f6-953a32af7071","year":2024},"citing_paper":{"arxiv_id":"2604.12545","last_updated":"2026-04-14T10:17:31Z","snapshot_observed_at":"2026-07-06T23:00:41.835763Z","submitted_at":"2026-04-14T10:17:31Z","title":"Cross-Cultural Simulation of Citizen Emotional Responses to Bureaucratic Red Tape Using LLM Agents","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-10T15:21:08.184039Z"},"links":{"cited_paper":"/paper/2410.04360","citing_paper":"/paper/2604.12545"},"observation_digest":"sha256:b6bc3838cdf1a5cc91859c792f3ab6148f93b89cb2b6239cc59ded0a62e31017","observation_id":"74d8339c-9e94-414d-b5a7-a8267558d604","resolution":{"observed_at":"2026-05-11T10:46:01.098356Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04360","last_updated":"2025-07-04T03:07:07Z","snapshot_observed_at":"2026-07-06T19:28:30.731752Z","submitted_at":"2024-10-06T05:02:23Z","title":"GenSim: A General Social Simulation Platform with Large Language Model based Agents","version":3},"cited_work":{"arxiv_id":"2410.04360","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04360","snapshot_observed_at":"2026-06-30T07:44:22.186014Z","title":"Gensim: A general social simulation platform with large language model based agents","venue":null,"work_id":"09289567-28cd-4734-a2f6-953a32af7071","year":2024},"citing_paper":{"arxiv_id":"2605.27766","last_updated":"2026-05-26T23:32:25Z","snapshot_observed_at":"2026-07-06T23:37:27.309837Z","submitted_at":"2026-05-26T23:32:25Z","title":"Got a Secret? LLM Agents Can't Keep It: Evaluating Privacy in Multi-Agent Systems","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-06-29T16:38:21.049712Z"},"links":{"cited_paper":"/paper/2410.04360","citing_paper":"/paper/2605.27766"},"observation_digest":"sha256:9098f9a4c1fbaa6fe2f201379966f30004f6e92e3d31156c60d4d831c3e26861","observation_id":"cfc38c89-eb08-4747-85d2-f16f6e5e3b30","resolution":{"observed_at":"2026-06-29T16:43:40.524506Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04360","last_updated":"2025-07-04T03:07:07Z","snapshot_observed_at":"2026-07-06T19:28:30.731752Z","submitted_at":"2024-10-06T05:02:23Z","title":"GenSim: A General Social Simulation Platform with Large Language Model based Agents","version":3},"cited_work":{"arxiv_id":"2410.04360","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.04360","snapshot_observed_at":"2026-06-30T07:44:22.186014Z","title":"Gensim: A general social simulation platform with large language model based agents","venue":null,"work_id":"09289567-28cd-4734-a2f6-953a32af7071","year":2024},"citing_paper":{"arxiv_id":"2606.29556","last_updated":"2026-06-28T18:45:08Z","snapshot_observed_at":"2026-08-03T10:43:38.333705Z","submitted_at":"2026-06-28T18:45:08Z","title":"Persona-Trained Monte Carlo: Estimating Market-Outcome Distributions via Swarms of Persona-Conditioned Neural Policy Bots in a Limit Order Book","version":1},"reference_index":119,"source":"arxiv_source","source_observed_at":"2026-06-30T07:36:53.929220Z"},"links":{"cited_paper":"/paper/2410.04360","citing_paper":"/paper/2606.29556"},"observation_digest":"sha256:f9b8b33ef55529500dc63aac91cc1f7bba2c0805bce2d4354f1dcb1f3a0be5f6","observation_id":"ae87082d-5edb-4e73-8800-eaa30aeeed70","resolution":{"observed_at":"2026-06-30T07:44:22.187842Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.04360/citation-record","integrity":"/paper/2410.04360/integrity","json":"/paper/2410.04360/citation-record.json","paper":"/paper/2410.04360"},"outbound":[],"paper":{"arxiv_id":"2410.04360","last_updated":"2025-07-04T03:07:07Z","latest_version":3,"primary_category":"cs.MA","snapshot_observed_at":"2026-07-06T19:28:30.731752Z","submitted_at":"2024-10-06T05:02:23Z","title":"GenSim: A General Social Simulation Platform with Large Language Model based Agents"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.04360."}