{"as_of":"2026-08-18T08:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:82a015f5619f6c6739417858e47b3db47c1ba6deaee67afa0a62c8e953cad60c","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T14:31:05.024537Z","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":"2026-05-10T07:52:14.085412Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2007.06700","last_updated":"2020-07-13T21:22:17Z","snapshot_observed_at":"2026-08-17T14:46:34.237683Z","submitted_at":"2020-07-13T21:22:17Z","title":"Revisiting Fundamentals of Experience Replay","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.06700","snapshot_observed_at":"2026-08-11T10:52:19.147535Z","title":"Revisiting fundamentals of experience replay","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2412.16079","last_updated":"2024-12-20T17:23:12Z","snapshot_observed_at":"2026-08-16T08:51:51.041463Z","submitted_at":"2024-12-20T17:23:12Z","title":"Fair Distributed Machine Learning with Imbalanced Data as a Stackelberg Evolutionary Game","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T10:52:19.147535Z"},"links":{"cited_paper":"/paper/2007.06700","citing_paper":"/paper/2412.16079"},"observation_digest":"sha256:c84a081168471020b23746f7cc862cc080680f1992b0ec01ba6021f298f6d885","observation_id":"61eab564-fba4-4125-bea9-e9882f58d966","resolution":{"observed_at":"2026-08-11T10:52:19.147535Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2007.06700","last_updated":"2020-07-13T21:22:17Z","snapshot_observed_at":"2026-08-17T14:46:34.237683Z","submitted_at":"2020-07-13T21:22:17Z","title":"Revisiting Fundamentals of Experience Replay","version":1},"cited_work":{"arxiv_id":"2007.06700","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2007.06700","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Revisiting fundamentals of experience replay.arXiv preprint arXiv:2007.06700","venue":null,"work_id":"e119a73a-066e-468d-8e90-015141007c97","year":2007},"citing_paper":{"arxiv_id":"2604.16918","last_updated":"2026-04-18T08:51:29Z","snapshot_observed_at":"2026-08-14T11:02:06.714353Z","submitted_at":"2026-04-18T08:51:29Z","title":"Freshness-Aware Prioritized Experience Replay for LLM/VLM Reinforcement Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-10T07:27:15.270996Z"},"links":{"cited_paper":"/paper/2007.06700","citing_paper":"/paper/2604.16918"},"observation_digest":"sha256:0809fb0cde6b7c008cf1116f25f2ae9b25defe8a830c4d2388e145ec80f1cd87","observation_id":"2e76b193-cfe0-4c16-81b1-83edb4458e26","resolution":{"observed_at":"2026-05-10T07:52:14.086873Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.06700","last_updated":"2020-07-13T21:22:17Z","snapshot_observed_at":"2026-08-17T14:46:34.237683Z","submitted_at":"2020-07-13T21:22:17Z","title":"Revisiting Fundamentals of Experience Replay","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.06700","snapshot_observed_at":"2026-08-15T14:31:05.024537Z","title":"Revisiting fundamentals of experience replay, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.07086","last_updated":"2026-08-07T10:38:31Z","snapshot_observed_at":"2026-08-17T18:07:22.435738Z","submitted_at":"2026-08-07T10:38:31Z","title":"Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-15T14:31:05.024537Z"},"links":{"cited_paper":"/paper/2007.06700","citing_paper":"/paper/2608.07086"},"observation_digest":"sha256:c7b54443c2f1189307d64ebd5f77650483ab86030a406cf193cd97f8af13561a","observation_id":"a2d0ff16-9a26-45c0-82a9-88788c052046","resolution":{"observed_at":"2026-08-15T14:31:05.024537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2007.06700/citation-record","integrity":"/paper/2007.06700/integrity","json":"/paper/2007.06700/citation-record.json","paper":"/paper/2007.06700"},"outbound":[],"paper":{"arxiv_id":"2007.06700","last_updated":"2020-07-13T21:22:17Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T14:46:34.237683Z","submitted_at":"2020-07-13T21:22:17Z","title":"Revisiting Fundamentals of Experience Replay"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2007.06700."}