{"as_of":"2026-08-20T04:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f1d8622ef0591ac7c7d580d6428d379f6725ad84d42e33a8f87255a385cfcf37","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":"2026-08-19T06:32:44.657259+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":"2026-08-16T10:20:28.487923Z","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":"2026-08-07T15:03:44.749882Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2008.00614","last_updated":"2020-08-03T02:24:20Z","snapshot_observed_at":"2026-08-19T22:16:30.261030Z","submitted_at":"2020-08-03T02:24:20Z","title":"Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.00614","snapshot_observed_at":"2026-08-12T10:32:42.982760Z","title":"Dynamics generalization via information bottleneck in deep reinforcement learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2411.19133","last_updated":"2025-01-26T22:16:57Z","snapshot_observed_at":"2026-08-19T16:28:34.956083Z","submitted_at":"2024-11-28T13:34:15Z","title":"TEA: Trajectory Encoding Augmentation for Robust and Transferable Policies in Offline Reinforcement Learning","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T10:32:42.982760Z"},"links":{"cited_paper":"/paper/2008.00614","citing_paper":"/paper/2411.19133"},"observation_digest":"sha256:93b44ab29f407ba5af1b3d2d58fa66a89f12b0da91d4d19db8e9f803033a7f86","observation_id":"9c38f693-fa4e-4413-8156-efedb6702e1e","resolution":{"observed_at":"2026-08-12T10:32:42.982760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.00614","last_updated":"2020-08-03T02:24:20Z","snapshot_observed_at":"2026-08-19T22:16:30.261030Z","submitted_at":"2020-08-03T02:24:20Z","title":"Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2008.00614","snapshot_observed_at":"2026-08-16T10:20:28.487923Z","title":"Dynamics generalization via infor- mation bottleneck in deep reinforcement learning","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2504.18538","last_updated":"2025-04-25T17:59:59Z","snapshot_observed_at":"2026-08-19T19:10:33.609226Z","submitted_at":"2025-04-25T17:59:59Z","title":"Generalization Capability for Imitation Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T10:20:28.487923Z"},"links":{"cited_paper":"/paper/2008.00614","citing_paper":"/paper/2504.18538"},"observation_digest":"sha256:bec5fe3aa82925a90b11b6505069e9ebdbabd2f7c2b429705c343f98748efc75","observation_id":"e0b9dadb-816e-4f06-b2c9-a637d530f9c6","resolution":{"observed_at":"2026-08-16T10:20:28.487923Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2008.00614","last_updated":"2020-08-03T02:24:20Z","snapshot_observed_at":"2026-08-19T22:16:30.261030Z","submitted_at":"2020-08-03T02:24:20Z","title":"Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2008.00614","doi":null,"metadata_source":"pith","pith_arxiv_id":"2008.00614","snapshot_observed_at":"2026-08-07T15:03:44.749882Z","title":"Dynamics Generalization via Information Bottleneck in Deep Reinforcement Learning","venue":"cs.LG","work_id":"ef173d0f-c22c-4b43-8b12-f3300361e85e","year":2020},"citing_paper":{"arxiv_id":"2505.16734","last_updated":"2025-05-22T14:48:00Z","snapshot_observed_at":"2026-08-17T20:19:25.830500Z","submitted_at":"2025-05-22T14:48:00Z","title":"Maximum Total Correlation Reinforcement Learning","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T15:03:43.592134Z"},"links":{"cited_paper":"/paper/2008.00614","citing_paper":"/paper/2505.16734"},"observation_digest":"sha256:1dbeeafb1b43e0bbce80b8f6db8a22a564cdb11cfb2f468d41ab9e97ff8e7fe2","observation_id":"6107c7b8-cf3a-47d1-bd0d-1a7008b88b16","resolution":{"observed_at":"2026-08-07T15:03:44.845068Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2008.00614/citation-record","integrity":"/paper/2008.00614/integrity","json":"/paper/2008.00614/citation-record.json","paper":"/paper/2008.00614"},"outbound":[],"paper":{"arxiv_id":"2008.00614","last_updated":"2020-08-03T02:24:20Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T22:16:30.261030Z","submitted_at":"2020-08-03T02:24:20Z","title":"Dynamics Generalization via Information Bottleneck in Deep 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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2008.00614."}