{"as_of":"2026-08-11T07:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a259b8016d93f197daa1dc3fa190ad7c99e8fb753e9e31729b1d210e9f8fc341","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":"2026-08-11T06:34:44.6726+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":"2026-08-09T21:32:45.897175Z","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":"2026-05-19T12:02:16.691021Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.14751","last_updated":"2024-11-05T09:42:40Z","snapshot_observed_at":"2026-08-04T06:06:51.627735Z","submitted_at":"2024-05-23T16:17:44Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14751","snapshot_observed_at":"2026-08-09T21:32:45.897175Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.19056","last_updated":"2025-01-31T11:32:05Z","snapshot_observed_at":"2026-08-09T21:49:24.197723Z","submitted_at":"2025-01-31T11:32:05Z","title":"Enabling Autonomic Microservice Management through Self-Learning Agents","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-09T21:32:45.897175Z"},"links":{"cited_paper":"/paper/2405.14751","citing_paper":"/paper/2501.19056"},"observation_digest":"sha256:ef84cec5b50cec20e737802504383e0d9b04956bd6da20ce88e6f66245d0794a","observation_id":"eb2d3262-c742-4b9b-91db-f4bc0f603e5a","resolution":{"observed_at":"2026-08-09T21:32:45.897175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14751","last_updated":"2024-11-05T09:42:40Z","snapshot_observed_at":"2026-08-04T06:06:51.627735Z","submitted_at":"2024-05-23T16:17:44Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14751","snapshot_observed_at":"2026-08-07T13:59:17.923881Z","title":"Agile: A novel framework of llm agents.arXiv preprint arXiv:2405.14751, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20285","last_updated":"2025-05-27T06:46:24Z","snapshot_observed_at":"2026-08-09T00:25:41.948655Z","submitted_at":"2025-05-26T17:58:50Z","title":"MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:59:17.923881Z"},"links":{"cited_paper":"/paper/2405.14751","citing_paper":"/paper/2505.20285"},"observation_digest":"sha256:b12f3c0921d31c000c24fa49ee1e1fb6639aa529e833ab5dbc2363c89694ec1a","observation_id":"a3bb3af5-ab39-4077-9a86-7461ff5ecf13","resolution":{"observed_at":"2026-08-07T13:59:17.923881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14751","last_updated":"2024-11-05T09:42:40Z","snapshot_observed_at":"2026-08-04T06:06:51.627735Z","submitted_at":"2024-05-23T16:17:44Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","version":2},"cited_work":{"arxiv_id":"2405.14751","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.14751","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Agile: A novel reinforcement learning framework of llm agents","venue":null,"work_id":"6fe6c856-8f3c-465a-92df-41814fc89869","year":2024},"citing_paper":{"arxiv_id":"2506.03610","last_updated":"2026-04-14T22:54:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-06-04T06:40:33Z","title":"Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games","version":3},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-19T12:01:42.681135Z"},"links":{"cited_paper":"/paper/2405.14751","citing_paper":"/paper/2506.03610"},"observation_digest":"sha256:f0c929ea9e4c3a031505e627a6c2362a25f10e6f570547495b1e4e4580c5178c","observation_id":"c511ea40-060a-4eae-ac6c-2f12ffdad89e","resolution":{"observed_at":"2026-05-19T12:02:16.693117Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.14751","last_updated":"2024-11-05T09:42:40Z","snapshot_observed_at":"2026-08-04T06:06:51.627735Z","submitted_at":"2024-05-23T16:17:44Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.14751","snapshot_observed_at":"2026-08-05T17:59:25.672829Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM Agents","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16678","last_updated":"2025-08-21T09:19:08Z","snapshot_observed_at":"2026-08-09T14:27:16.522120Z","submitted_at":"2025-08-21T09:19:08Z","title":"Cognitive Agents Powered by Large Language Models for Agile Software Project Management","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-05T17:59:25.672829Z"},"links":{"cited_paper":"/paper/2405.14751","citing_paper":"/paper/2508.16678"},"observation_digest":"sha256:54b15a39bed335f2d138e15b5bb1e3adfce1788695fb036fca7d30808690e77b","observation_id":"e1287f9b-babd-4ceb-9e37-6c71da9d6bdc","resolution":{"observed_at":"2026-08-05T17:59:25.672829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.14751/citation-record","integrity":"/paper/2405.14751/integrity","json":"/paper/2405.14751/citation-record.json","paper":"/paper/2405.14751"},"outbound":[],"paper":{"arxiv_id":"2405.14751","last_updated":"2024-11-05T09:42:40Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-04T06:06:51.627735Z","submitted_at":"2024-05-23T16:17:44Z","title":"AGILE: A Novel Reinforcement Learning Framework of LLM 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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.14751."}