{"as_of":"2026-08-16T22:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9757b82d4df61d336bc1e8a2ddb3b2040b5dd092370876ff45582908f116566","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T19:49:35.463085Z","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":"2026-08-12T19:49:35.625775Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.09536","last_updated":"2025-03-15T11:51:10Z","snapshot_observed_at":"2026-08-16T15:15:13.641147Z","submitted_at":"2024-10-12T13:55:26Z","title":"TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning","version":4},"cited_work":{"arxiv_id":"2410.09536","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.09536","snapshot_observed_at":"2026-08-12T19:49:35.625775Z","title":"TOP-ERL: Transformer-based Off-Policy Episodic Reinforcement Learning","venue":"cs.LG","work_id":"1d8d9b91-3561-4fe7-9950-6897dd537118","year":2024},"citing_paper":{"arxiv_id":"2411.10336","last_updated":"2024-12-20T16:29:24Z","snapshot_observed_at":"2026-08-12T19:41:44.828253Z","submitted_at":"2024-11-15T16:35:26Z","title":"BMP: Bridging the Gap between B-Spline and Movement Primitives","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T19:49:35.463085Z"},"links":{"cited_paper":"/paper/2410.09536","citing_paper":"/paper/2411.10336"},"observation_digest":"sha256:c58b6c5a63a7d1a2beed74e3309b3a7a599fa92e3ed14bd5d24bd5b1a9a3454e","observation_id":"5413a49b-6a4f-41cc-89ea-91ad9c8f8655","resolution":{"observed_at":"2026-08-12T19:49:35.633905Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.09536/citation-record","integrity":"/paper/2410.09536/integrity","json":"/paper/2410.09536/citation-record.json","paper":"/paper/2410.09536"},"outbound":[],"paper":{"arxiv_id":"2410.09536","last_updated":"2025-03-15T11:51:10Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T15:15:13.641147Z","submitted_at":"2024-10-12T13:55:26Z","title":"TOP-ERL: Transformer-based Off-Policy Episodic 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2410.09536."}