{"as_of":"2026-08-19T23:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b5a78c6a77223c5f21d94e78bb30698f8e91cb62402df4d0a62e0312dd5f0dc3","coverage":[{"denominator":3,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-13T03:17:43.582491Z","state":"measured"},{"denominator":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2607.09403/citation-record","integrity":"/paper/2607.09403/integrity","json":"/paper/2607.09403/citation-record.json","paper":"/paper/2607.09403"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T03:17:43.582491Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09403","last_updated":"2026-07-10T13:30:42Z","snapshot_observed_at":"2026-08-19T10:11:22.273429Z","submitted_at":"2026-07-10T13:30:42Z","title":"Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-07-13T03:17:43.582491Z"},"links":{"citing_paper":"/paper/2607.09403"},"observation_digest":"sha256:6075fbf4ad552ad4698117be1e07882adb25d92bc8e9e7b37dd596a8a5e35fdd","observation_id":"9fa63a74-f6a5-4f72-a0ff-48d9a9013e7b","resolution":{"observed_at":"2026-07-13T03:17:43.582491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T03:17:43.582491Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.09403","last_updated":"2026-07-10T13:30:42Z","snapshot_observed_at":"2026-08-19T10:11:22.273429Z","submitted_at":"2026-07-10T13:30:42Z","title":"Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-13T03:17:43.582491Z"},"links":{"citing_paper":"/paper/2607.09403"},"observation_digest":"sha256:01a25ba48fa2b4289ec9b22ebaf9bdc0df21bc79a9464e1a96269fa7a773a918","observation_id":"25bc2ca9-97f8-42d2-85d1-f9c693c15b37","resolution":{"observed_at":"2026-07-13T03:17:43.582491Z","resolver_source":null,"status":"parse_uncertain"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-07-13T03:17:43.582491Z","title":"cherry-picked","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2607.09403","last_updated":"2026-07-10T13:30:42Z","snapshot_observed_at":"2026-08-19T10:11:22.273429Z","submitted_at":"2026-07-10T13:30:42Z","title":"Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-07-13T03:17:43.582491Z"},"links":{"citing_paper":"/paper/2607.09403"},"observation_digest":"sha256:cb222636488ca090266109857840c4ad104d4a7b8a7b7740617ccf7763b34369","observation_id":"98aabc5b-62e1-44eb-8b11-db868b044a18","resolution":{"observed_at":"2026-07-13T03:17:43.582491Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2607.09403","last_updated":"2026-07-10T13:30:42Z","latest_version":1,"primary_category":"cs.AI","snapshot_observed_at":"2026-08-19T10:11:22.273429Z","submitted_at":"2026-07-10T13:30:42Z","title":"Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review"},"reference_resolution":{"displayed":3,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":1,"unresolved":2,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":3},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2607.09403."}