{"as_of":"2026-08-13T12:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b15806c90f02601033b092c45389b0d11805830c0b34d1a04aca5234aaaec79e","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":"2026-08-13T06:32:02.005865+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":"2026-08-12T16:58:53.263946Z","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":"2026-05-23T03:32:28.838278Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2006.07178","last_updated":"2020-06-15T18:34:23Z","snapshot_observed_at":"2026-08-13T09:23:52.825393Z","submitted_at":"2020-06-12T13:34:46Z","title":"Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2006.07178","snapshot_observed_at":"2026-08-12T16:58:53.263946Z","title":"Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2411.15204","last_updated":"2025-02-05T01:47:29Z","snapshot_observed_at":"2026-08-13T05:22:43.604316Z","submitted_at":"2024-11-20T05:58:52Z","title":"Label Distribution Shift-Aware Prediction Refinement for Test-Time Adaptation","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T16:58:53.263946Z"},"links":{"cited_paper":"/paper/2006.07178","citing_paper":"/paper/2411.15204"},"observation_digest":"sha256:36c3b02ddecb2f54cc1e7fa5e6e2c4efbdad5bcc501827da9f5c6bae0184cb51","observation_id":"439b66c0-4b36-466f-b372-2661ed78be88","resolution":{"observed_at":"2026-08-12T16:58:53.263946Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07178","last_updated":"2020-06-15T18:34:23Z","snapshot_observed_at":"2026-08-13T09:23:52.825393Z","submitted_at":"2020-06-12T13:34:46Z","title":"Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling","version":2},"cited_work":{"arxiv_id":"2006.07178","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.07178","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling","venue":null,"work_id":"df8484a3-5386-4e4e-9d23-b8de3a0eeff2","year":2006},"citing_paper":{"arxiv_id":"2502.02834","last_updated":"2025-06-18T06:52:53Z","snapshot_observed_at":"2026-07-31T16:22:30.689653Z","submitted_at":"2025-02-05T02:31:50Z","title":"Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks","version":3},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-05-23T03:27:41.641417Z"},"links":{"cited_paper":"/paper/2006.07178","citing_paper":"/paper/2502.02834"},"observation_digest":"sha256:d9d50249ab2291ac434684eac025564ffade0f2bdc73b32edb797d36df6adb8d","observation_id":"0dacc4dd-ad59-412e-bd74-f5b658385822","resolution":{"observed_at":"2026-05-23T03:32:28.842524Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2006.07178","last_updated":"2020-06-15T18:34:23Z","snapshot_observed_at":"2026-08-13T09:23:52.825393Z","submitted_at":"2020-06-12T13:34:46Z","title":"Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling","version":2},"cited_work":{"arxiv_id":"2006.07178","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2006.07178","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Meta-reinforcement learning robust to distributional shift via model identification and experience relabeling","venue":null,"work_id":"df8484a3-5386-4e4e-9d23-b8de3a0eeff2","year":2006},"citing_paper":{"arxiv_id":"2502.03752","last_updated":"2026-05-20T06:52:21Z","snapshot_observed_at":"2026-08-12T20:27:14.395038Z","submitted_at":"2025-02-06T03:28:45Z","title":"Self-Improving Skill Learning for Robust Skill-based Meta-Reinforcement Learning","version":5},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-23T03:22:25.891899Z"},"links":{"cited_paper":"/paper/2006.07178","citing_paper":"/paper/2502.03752"},"observation_digest":"sha256:85c7afa8a6d93811ab79996825d7072a3d5ae902c1bd1197fa5f3b4fe47ce6ab","observation_id":"b642c029-9ae1-41a4-b076-af58303a9929","resolution":{"observed_at":"2026-05-23T03:25:20.976082Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2006.07178/citation-record","integrity":"/paper/2006.07178/integrity","json":"/paper/2006.07178/citation-record.json","paper":"/paper/2006.07178"},"outbound":[],"paper":{"arxiv_id":"2006.07178","last_updated":"2020-06-15T18:34:23Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T09:23:52.825393Z","submitted_at":"2020-06-12T13:34:46Z","title":"Meta-Reinforcement Learning Robust to Distributional Shift via Model Identification and Experience Relabeling"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.07178."}