{"as_of":"2026-08-20T09:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:0885c3b47a8b02c0a5fcbf8cc4aecd81aaedfa9f7cf31b51d31a1d5fcb770ea3","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":"2026-08-20T06:33:59.587034+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":"2026-08-01T11:54:31.481091Z","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":"2026-05-21T11:24:08.758688Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2401.16650","last_updated":"2024-07-16T07:33:52Z","snapshot_observed_at":"2026-08-20T06:03:08.730326Z","submitted_at":"2024-01-30T00:48:26Z","title":"Augmenting Replay in World Models for Continual Reinforcement Learning","version":3},"cited_work":{"arxiv_id":"2401.16650","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2401.16650","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e3aaf009-ac1a-435e-8c0a-be4df318d081","year":null},"citing_paper":{"arxiv_id":"2603.11395","last_updated":"2026-06-11T09:17:16Z","snapshot_observed_at":"2026-08-11T20:20:03.429516Z","submitted_at":"2026-03-12T00:15:11Z","title":"ARROW: Augmented Replay for RObust World models","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T11:20:32.869199Z"},"links":{"cited_paper":"/paper/2401.16650","citing_paper":"/paper/2603.11395"},"observation_digest":"sha256:77ded68d5cb8e47521e932b1161f4b2c02a806a37ac2dde9c173c0d9d64fc7e6","observation_id":"46d9c5ca-2c5f-4edd-b35e-0a7740a4b7d1","resolution":{"observed_at":"2026-05-21T11:24:08.760245Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16650","last_updated":"2024-07-16T07:33:52Z","snapshot_observed_at":"2026-08-20T06:03:08.730326Z","submitted_at":"2024-01-30T00:48:26Z","title":"Augmenting Replay in World Models for Continual Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16650","snapshot_observed_at":"2026-08-01T11:54:31.481091Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.19749","last_updated":"2026-07-22T04:46:49Z","snapshot_observed_at":"2026-08-17T20:04:45.811015Z","submitted_at":"2026-07-22T04:46:49Z","title":"The World Model Remembers, the Actor Forgets: Dream Rehearsal for Continual Model-Based RL","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-01T11:54:31.481091Z"},"links":{"cited_paper":"/paper/2401.16650","citing_paper":"/paper/2607.19749"},"observation_digest":"sha256:9c4040fa040cf7d869336851f72f690ebe7a5555b3c3d427d59786e4e42621a4","observation_id":"857f95b6-f7e7-4dfb-b9cb-d2f64a1ac1dc","resolution":{"observed_at":"2026-08-01T11:54:31.481091Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2401.16650","last_updated":"2024-07-16T07:33:52Z","snapshot_observed_at":"2026-08-20T06:03:08.730326Z","submitted_at":"2024-01-30T00:48:26Z","title":"Augmenting Replay in World Models for Continual Reinforcement Learning","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.16650","snapshot_observed_at":"2026-07-31T00:47:51.586648Z","title":"Augmenting replay in world models for continual reinforcement learning","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25123","last_updated":"2026-07-27T22:33:09Z","snapshot_observed_at":"2026-08-17T00:03:18.624629Z","submitted_at":"2026-07-27T22:33:09Z","title":"Endpoint Replay: Compressing the Recency Buffer in Deep Reinforcement Learning","version":1},"reference_index":173,"source":"arxiv_source","source_observed_at":"2026-07-31T00:47:51.586648Z"},"links":{"cited_paper":"/paper/2401.16650","citing_paper":"/paper/2607.25123"},"observation_digest":"sha256:1671689fdeabb80c177d308ee0a916b1464ab9fc1c5a19aa736ff25cbaa8f68e","observation_id":"d2f8e3c8-51dd-466e-95f1-84e99c7b89e0","resolution":{"observed_at":"2026-07-31T00:47:51.586648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2401.16650/citation-record","integrity":"/paper/2401.16650/integrity","json":"/paper/2401.16650/citation-record.json","paper":"/paper/2401.16650"},"outbound":[],"paper":{"arxiv_id":"2401.16650","last_updated":"2024-07-16T07:33:52Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-20T06:03:08.730326Z","submitted_at":"2024-01-30T00:48:26Z","title":"Augmenting Replay in World Models for Continual 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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+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:2401.16650."}