{"as_of":"2026-08-17T01:23:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:97d4a36d08ec387d5ae32fafd3d61542d20d41cb6fe54b04e05d8b9b808821ee","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T19:37:29.842674Z","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":"2026-08-11T18:41:54.189087Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2306.09205","last_updated":"2024-01-24T18:32:49Z","snapshot_observed_at":"2026-08-16T18:53:07.244160Z","submitted_at":"2023-06-15T15:40:04Z","title":"Reward-Free Curricula for Training Robust World Models","version":2},"cited_work":{"arxiv_id":"2306.09205","doi":null,"metadata_source":"pith","pith_arxiv_id":"2306.09205","snapshot_observed_at":"2026-08-11T18:41:54.189087Z","title":"Reward-Free Curricula for Training Robust World Models","venue":"cs.LG","work_id":"1324c2b0-e576-4114-88d4-4c1ca401a58b","year":2023},"citing_paper":{"arxiv_id":"2412.10425","last_updated":"2025-01-09T22:46:26Z","snapshot_observed_at":"2026-08-15T13:39:43.022345Z","submitted_at":"2024-12-10T16:34:47Z","title":"Active Inference for Self-Organizing Multi-LLM Systems: A Bayesian Thermodynamic Approach to Adaptation","version":3},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T18:41:54.048209Z"},"links":{"cited_paper":"/paper/2306.09205","citing_paper":"/paper/2412.10425"},"observation_digest":"sha256:9c716f67f68de55473cd35360d230bfe468fe54a1e6f726f17773e890f182346","observation_id":"5fa2d049-55b7-4a56-84ab-d202e194b77c","resolution":{"observed_at":"2026-08-11T18:41:54.197497Z","resolver_source":"local_arxiv","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"}},{"citation":{"cited_paper":{"arxiv_id":"2306.09205","last_updated":"2024-01-24T18:32:49Z","snapshot_observed_at":"2026-08-16T18:53:07.244160Z","submitted_at":"2023-06-15T15:40:04Z","title":"Reward-Free Curricula for Training Robust World Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.09205","snapshot_observed_at":"2026-08-15T19:37:29.842674Z","title":"Reward-free curricula for training robust world models","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.15446","last_updated":"2025-06-18T13:18:36Z","snapshot_observed_at":"2026-08-16T08:41:29.929267Z","submitted_at":"2025-06-18T13:18:36Z","title":"Zero-Shot Reinforcement Learning Under Partial Observability","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-15T19:37:29.842674Z"},"links":{"cited_paper":"/paper/2306.09205","citing_paper":"/paper/2506.15446"},"observation_digest":"sha256:2c94144cec5b7b332a2da2b19b87038b75616bc6c0f289762cb206190ea068f4","observation_id":"09b5a9d9-404b-451b-8af9-e16407be0569","resolution":{"observed_at":"2026-08-15T19:37:29.842674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2306.09205/citation-record","integrity":"/paper/2306.09205/integrity","json":"/paper/2306.09205/citation-record.json","paper":"/paper/2306.09205"},"outbound":[],"paper":{"arxiv_id":"2306.09205","last_updated":"2024-01-24T18:32:49Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T18:53:07.244160Z","submitted_at":"2023-06-15T15:40:04Z","title":"Reward-Free Curricula for Training Robust World Models"},"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 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.09205."}