{"as_of":"2026-08-13T18:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f9c4973921114e4bb454c2f39293187b0f5643f8625b0bf5843cfafce61d0047","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":"2026-08-13T06:32:02.005865+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":"2026-08-05T22:40:17.755043Z","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":"2026-08-05T11:39:58.191494Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.00267","last_updated":"2023-11-01T03:32:13Z","snapshot_observed_at":"2026-08-13T05:35:15.325566Z","submitted_at":"2023-11-01T03:32:13Z","title":"Rethinking Decision Transformer via Hierarchical Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.00267","snapshot_observed_at":"2026-08-05T22:40:17.755043Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2508.06634","last_updated":"2025-08-19T13:00:31Z","snapshot_observed_at":"2026-08-13T15:29:14.544253Z","submitted_at":"2025-08-08T18:32:45Z","title":"Dual-Head Physics-Informed Graph Decision Transformer for Distribution System Restoration","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-05T22:40:17.755043Z"},"links":{"cited_paper":"/paper/2311.00267","citing_paper":"/paper/2508.06634"},"observation_digest":"sha256:a4a7bf796823f56316d36477dbdc185cbfdb22df14f5e95854c9dbce5390a1d2","observation_id":"bca791fd-f3aa-41ef-b646-02b998dec0c6","resolution":{"observed_at":"2026-08-05T22:40:17.755043Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.00267","last_updated":"2023-11-01T03:32:13Z","snapshot_observed_at":"2026-08-13T05:35:15.325566Z","submitted_at":"2023-11-01T03:32:13Z","title":"Rethinking Decision Transformer via Hierarchical Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2311.00267","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.00267","snapshot_observed_at":"2026-08-05T11:39:58.191494Z","title":"Rethinking Decision Transformer via Hierarchical Reinforcement Learning","venue":"cs.LG","work_id":"15e43362-ecd6-482d-b57f-71f1bbb6c6d7","year":2023},"citing_paper":{"arxiv_id":"2509.02458","last_updated":"2025-09-02T16:09:02Z","snapshot_observed_at":"2026-08-13T17:44:38.246112Z","submitted_at":"2025-09-02T16:09:02Z","title":"Generative Sequential Notification Optimization via Multi-Objective Decision Transformers","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-05T11:39:57.895380Z"},"links":{"cited_paper":"/paper/2311.00267","citing_paper":"/paper/2509.02458"},"observation_digest":"sha256:177e22ae3f67d9d695c1cd16d79ef6a02e4219fa82d681028a05497af5fc7d2b","observation_id":"93a893e4-4dca-4bb5-a11c-4e08c17c3f6d","resolution":{"observed_at":"2026-08-05T11:39:58.216680Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.00267/citation-record","integrity":"/paper/2311.00267/integrity","json":"/paper/2311.00267/citation-record.json","paper":"/paper/2311.00267"},"outbound":[],"paper":{"arxiv_id":"2311.00267","last_updated":"2023-11-01T03:32:13Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T05:35:15.325566Z","submitted_at":"2023-11-01T03:32:13Z","title":"Rethinking Decision Transformer via Hierarchical 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.00267."}