{"as_of":"2026-08-09T04:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0c87f077a9390e731e002a87cce5b4244f5dc3985dcf5e6b642fb1f2527d06c0","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":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":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:03:25.925948Z","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":"2026-05-23T03:25:20.962450Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1806.04640","last_updated":"2020-04-30T16:55:56Z","snapshot_observed_at":"2026-07-06T06:44:25.518684Z","submitted_at":"2018-06-12T16:48:52Z","title":"Unsupervised Meta-Learning for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"1806.04640","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1806.04640","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unsupervised meta- learning for reinforcement learning.arXiv preprint arXiv:1806.04640","venue":null,"work_id":"8f061da3-c045-4206-9c15-6bab6edcf767","year":2018},"citing_paper":{"arxiv_id":"1910.07113","last_updated":"2019-10-16T00:59:05Z","snapshot_observed_at":"2026-08-02T15:37:37.200292Z","submitted_at":"2019-10-16T00:59:05Z","title":"Solving Rubik's Cube with a Robot Hand","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-15T09:38:28.621842Z"},"links":{"cited_paper":"/paper/1806.04640","citing_paper":"/paper/1910.07113"},"observation_digest":"sha256:0437c2a9f9ab7c44643529feb1fc4dbd6b48594ab2ba03fcc8cb51e7f9130ebb","observation_id":"af3d3887-7904-428f-b89b-427f0585ad19","resolution":{"observed_at":"2026-05-15T09:38:28.931099Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.04640","last_updated":"2020-04-30T16:55:56Z","snapshot_observed_at":"2026-07-06T06:44:25.518684Z","submitted_at":"2018-06-12T16:48:52Z","title":"Unsupervised Meta-Learning for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"1806.04640","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1806.04640","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Unsupervised meta- learning for reinforcement learning.arXiv preprint arXiv:1806.04640","venue":null,"work_id":"8f061da3-c045-4206-9c15-6bab6edcf767","year":2018},"citing_paper":{"arxiv_id":"2502.03752","last_updated":"2026-05-20T06:52:21Z","snapshot_observed_at":"2026-08-01T01:44:15.704911Z","submitted_at":"2025-02-06T03:28:45Z","title":"Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning","version":5},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-23T03:22:25.891899Z"},"links":{"cited_paper":"/paper/1806.04640","citing_paper":"/paper/2502.03752"},"observation_digest":"sha256:a4c39f784ff13e3e1ee0f2da3a414ec6e31209e5abd4b071265aa549a89823d8","observation_id":"6c265e52-6e8a-444b-b598-3837df24152e","resolution":{"observed_at":"2026-05-23T03:25:20.965138Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1806.04640","last_updated":"2020-04-30T16:55:56Z","snapshot_observed_at":"2026-07-06T06:44:25.518684Z","submitted_at":"2018-06-12T16:48:52Z","title":"Unsupervised Meta-Learning for Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1806.04640","snapshot_observed_at":"2026-08-07T05:03:25.925948Z","title":"Unsupervised meta- learning for reinforcement learning.CoRR, abs/1806.04640, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.09026","last_updated":"2025-06-13T17:44:03Z","snapshot_observed_at":"2026-08-07T12:11:23.366278Z","submitted_at":"2025-06-10T17:52:42Z","title":"e3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T05:03:25.925948Z"},"links":{"cited_paper":"/paper/1806.04640","citing_paper":"/paper/2506.09026"},"observation_digest":"sha256:92d74ac4bf8872e6676606647de3f8778053d293a556b9155980bbd583067603","observation_id":"5ee39a6f-de9c-45e7-b557-533f155b25a5","resolution":{"observed_at":"2026-08-07T05:03:25.925948Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1806.04640/citation-record","integrity":"/paper/1806.04640/integrity","json":"/paper/1806.04640/citation-record.json","paper":"/paper/1806.04640"},"outbound":[],"paper":{"arxiv_id":"1806.04640","last_updated":"2020-04-30T16:55:56Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T06:44:25.518684Z","submitted_at":"2018-06-12T16:48:52Z","title":"Unsupervised Meta-Learning for Reinforcement Learning"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1806.04640."}