{"as_of":"2026-08-11T06:27:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:47866eb21178ee591067a4b6b8202ebc4be4cca37555f8354f37526ca36e406a","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:54:46.327944Z","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":"2026-08-08T17:54:47.089692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.11416","last_updated":"2024-08-21T08:22:11Z","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T08:22:11Z","title":"Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration","version":1},"cited_work":{"arxiv_id":"2408.11416","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.11416","snapshot_observed_at":"2026-08-08T17:54:47.089692Z","title":"Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration","venue":"cs.MA","work_id":"e1795c01-5c3e-4849-b8ae-bf629dd67f50","year":2024},"citing_paper":{"arxiv_id":"2502.05812","last_updated":"2025-02-09T08:35:09Z","snapshot_observed_at":"2026-08-09T02:13:04.543066Z","submitted_at":"2025-02-09T08:35:09Z","title":"Multi-Agent Reinforcement Learning in Wireless Distributed Networks for 6G","version":1},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-08T17:54:46.327944Z"},"links":{"cited_paper":"/paper/2408.11416","citing_paper":"/paper/2502.05812"},"observation_digest":"sha256:5f6191724398300ed7ce27801aac313da6ee9285173ffb9c24affa68e458dbfa","observation_id":"f424e5a1-6870-42a1-b26f-075659651f8a","resolution":{"observed_at":"2026-08-08T17:54:47.093101Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.11416/citation-record","integrity":"/paper/2408.11416/integrity","json":"/paper/2408.11416/citation-record.json","paper":"/paper/2408.11416"},"outbound":[],"paper":{"arxiv_id":"2408.11416","last_updated":"2024-08-21T08:22:11Z","latest_version":1,"primary_category":"cs.MA","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T08:22:11Z","title":"Subgoal-based Hierarchical Reinforcement Learning for 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2408.11416."}