{"as_of":"2026-08-09T14:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f0987a4b7050beaf8dbf5d162992cae9bc58f722d1c8fef8199a2614704bf6eb","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T18:56:45.507846Z","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":"2026-05-25T05:15:22.209222Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2310.09615","last_updated":"2023-10-14T16:42:02Z","snapshot_observed_at":"2026-08-07T17:19:38.680802Z","submitted_at":"2023-10-14T16:42:02Z","title":"STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09615","snapshot_observed_at":"2026-08-08T18:56:45.507846Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.05555","last_updated":"2025-02-08T12:57:02Z","snapshot_observed_at":"2026-08-08T18:50:00.725926Z","submitted_at":"2025-02-08T12:57:02Z","title":"Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-08T18:56:45.507846Z"},"links":{"cited_paper":"/paper/2310.09615","citing_paper":"/paper/2502.05555"},"observation_digest":"sha256:0f4292594ecd322299db84a9b8834f1326776bfd547f789e3152a4d32ef382c7","observation_id":"fa855692-1340-4897-a545-626b161111a9","resolution":{"observed_at":"2026-08-08T18:56:45.507846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09615","last_updated":"2023-10-14T16:42:02Z","snapshot_observed_at":"2026-08-07T17:19:38.680802Z","submitted_at":"2023-10-14T16:42:02Z","title":"STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2310.09615","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2310.09615","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"STORM: Efficient stochastic transformer based world models for reinforcement learning","venue":null,"work_id":"11000dbe-c626-4eb2-ab07-b7ef3e866ca5","year":2024},"citing_paper":{"arxiv_id":"2605.23220","last_updated":"2026-05-22T04:31:09Z","snapshot_observed_at":"2026-07-06T23:33:29.550551Z","submitted_at":"2026-05-22T04:31:09Z","title":"WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-05-25T05:14:59.444339Z"},"links":{"cited_paper":"/paper/2310.09615","citing_paper":"/paper/2605.23220"},"observation_digest":"sha256:f1eb46ab4c3242aee4084326ca2e2a3f8ead698223763831b1e6bc66d36a4f6b","observation_id":"de9cf525-bdb9-499d-8d9c-8b9d9eb5f0be","resolution":{"observed_at":"2026-05-25T05:15:22.212519Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.09615","last_updated":"2023-10-14T16:42:02Z","snapshot_observed_at":"2026-08-07T17:19:38.680802Z","submitted_at":"2023-10-14T16:42:02Z","title":"STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.09615","snapshot_observed_at":"2026-08-07T00:14:17.287180Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.02713","last_updated":"2026-08-03T17:59:58Z","snapshot_observed_at":"2026-08-07T23:09:56.055766Z","submitted_at":"2026-08-03T17:59:58Z","title":"Quo Vadis, World Modeling?","version":1},"reference_index":222,"source":"pdf_text","source_observed_at":"2026-08-07T00:14:17.287180Z"},"links":{"cited_paper":"/paper/2310.09615","citing_paper":"/paper/2608.02713"},"observation_digest":"sha256:d44b438ee116a7b3b8abf506320e4f5313c17bb5bb58d233e3aeb130896cd0f3","observation_id":"2c48ebd4-04d9-46e1-8a89-57bd28f7c6a1","resolution":{"observed_at":"2026-08-07T00:14:17.287180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2310.09615/citation-record","integrity":"/paper/2310.09615/integrity","json":"/paper/2310.09615/citation-record.json","paper":"/paper/2310.09615"},"outbound":[],"paper":{"arxiv_id":"2310.09615","last_updated":"2023-10-14T16:42:02Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T17:19:38.680802Z","submitted_at":"2023-10-14T16:42:02Z","title":"STORM: Efficient Stochastic Transformer based World Models for 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.09615."}