{"as_of":"2026-08-20T09:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1e0704463682b35f832e5ddfef0e608f7ccf742391cc62dc11eb674881b9c9ca","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-20T06:33:59.587034+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T22:00:47.983972Z","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":"2026-08-05T11:39:58.339812Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.09513","last_updated":"2024-09-14T19:30:53Z","snapshot_observed_at":"2026-08-19T08:36:48.856315Z","submitted_at":"2024-09-14T19:30:53Z","title":"Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09513","snapshot_observed_at":"2026-08-15T22:00:47.983972Z","title":"Clinton and R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.08444","last_updated":"2025-08-07T07:11:32Z","snapshot_observed_at":"2026-08-18T20:21:29.397362Z","submitted_at":"2025-05-13T11:13:00Z","title":"Extracting Visual Plans from Unlabeled Videos via Symbolic Guidance","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-15T22:00:47.983972Z"},"links":{"cited_paper":"/paper/2409.09513","citing_paper":"/paper/2505.08444"},"observation_digest":"sha256:d41f9f12f5ebb9c1dec369f6ac7517efe2284f06d77384bacadafd2c8cad089a","observation_id":"a7271087-e232-4abf-b703-d0e0a81bfe55","resolution":{"observed_at":"2026-08-15T22:00:47.983972Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09513","last_updated":"2024-09-14T19:30:53Z","snapshot_observed_at":"2026-08-19T08:36:48.856315Z","submitted_at":"2024-09-14T19:30:53Z","title":"Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens","version":1},"cited_work":{"arxiv_id":"2409.09513","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.09513","snapshot_observed_at":"2026-08-05T11:39:58.339812Z","title":"Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens","venue":"cs.LG","work_id":"acaedea6-9448-45a2-9c37-412b1872a3ac","year":2024},"citing_paper":{"arxiv_id":"2509.02458","last_updated":"2025-09-02T16:09:02Z","snapshot_observed_at":"2026-08-18T16:16:56.944025Z","submitted_at":"2025-09-02T16:09:02Z","title":"Generative Sequential Notification Optimization via Multi-Objective Decision Transformers","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:57.824108Z"},"links":{"cited_paper":"/paper/2409.09513","citing_paper":"/paper/2509.02458"},"observation_digest":"sha256:53d0911487c122d414048553da5ffe262df2b85663b387bd79ae3200eb60caf9","observation_id":"71a47095-5ab1-481d-931f-da4ab24d2447","resolution":{"observed_at":"2026-08-05T11:39:58.347674Z","resolver_source":"local_arxiv","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"}}],"links":{"evidence":"/evidence","html":"/paper/2409.09513/citation-record","integrity":"/paper/2409.09513/integrity","json":"/paper/2409.09513/citation-record.json","paper":"/paper/2409.09513"},"outbound":[],"paper":{"arxiv_id":"2409.09513","last_updated":"2024-09-14T19:30:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-19T08:36:48.856315Z","submitted_at":"2024-09-14T19:30:53Z","title":"Planning Transformer: Long-Horizon Offline Reinforcement Learning with Planning Tokens"},"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 2 inbound Pith citation observations for arXiv:2409.09513."}