{"as_of":"2026-08-08T03:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ddd7647ddb852b816ac464e4835145d7de03ea307185ef4a8128d1a38858d622","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:42:49.907562Z","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":"2026-07-03T04:37:37.570272Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.20081","last_updated":"2023-10-26T12:25:02Z","snapshot_observed_at":"2026-08-03T10:02:56.003909Z","submitted_at":"2023-05-31T17:55:21Z","title":"Efficient Diffusion Policies for Offline Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.20081","snapshot_observed_at":"2026-08-07T15:42:49.907562Z","title":"Patrick Kidger and Cristian Garcia","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.14139","last_updated":"2025-05-20T09:43:05Z","snapshot_observed_at":"2026-08-07T15:37:26.102286Z","submitted_at":"2025-05-20T09:43:05Z","title":"FlowQ: Energy-Guided Flow Policies for Offline Reinforcement Learning","version":1},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-07T15:42:49.907562Z"},"links":{"cited_paper":"/paper/2305.20081","citing_paper":"/paper/2505.14139"},"observation_digest":"sha256:479cd3ad11fc2f9451721e45341d6a42335e1104e59361d45bb43123ee58437f","observation_id":"f03702ea-474c-4204-8a39-dadc3920baeb","resolution":{"observed_at":"2026-08-07T15:42:49.907562Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20081","last_updated":"2023-10-26T12:25:02Z","snapshot_observed_at":"2026-08-03T10:02:56.003909Z","submitted_at":"2023-05-31T17:55:21Z","title":"Efficient Diffusion Policies for Offline Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.20081","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.20081","snapshot_observed_at":"2026-07-03T04:37:37.570272Z","title":"Space odyssey: An experimental software security analysis of satellites","venue":null,"work_id":"3027c38d-d1e6-44fa-a941-47e7b2143299","year":2023},"citing_paper":{"arxiv_id":"2506.20882","last_updated":"2026-04-06T14:47:22Z","snapshot_observed_at":"2026-08-02T17:00:41.269216Z","submitted_at":"2025-06-25T23:09:19Z","title":"Resilience Through Escalation: A Graph-Based PACE Architecture for Satellite Threat Response","version":3},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-19T07:15:20.214226Z"},"links":{"cited_paper":"/paper/2305.20081","citing_paper":"/paper/2506.20882"},"observation_digest":"sha256:2a18880022182d27bf05d29f79a3ed8b324d8899cdad8e838599c091b35e8379","observation_id":"a2be57cb-f73d-4589-a89b-c0d243e2b03a","resolution":{"observed_at":"2026-05-19T07:17:08.344454Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20081","last_updated":"2023-10-26T12:25:02Z","snapshot_observed_at":"2026-08-03T10:02:56.003909Z","submitted_at":"2023-05-31T17:55:21Z","title":"Efficient Diffusion Policies for Offline Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.20081","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.20081","snapshot_observed_at":"2026-07-03T04:37:37.570272Z","title":"Space odyssey: An experimental software security analysis of satellites","venue":null,"work_id":"3027c38d-d1e6-44fa-a941-47e7b2143299","year":2023},"citing_paper":{"arxiv_id":"2606.01151","last_updated":"2026-05-31T10:40:28Z","snapshot_observed_at":"2026-08-07T01:31:09.828531Z","submitted_at":"2026-05-31T10:40:28Z","title":"Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-06-28T17:19:36.722892Z"},"links":{"cited_paper":"/paper/2305.20081","citing_paper":"/paper/2606.01151"},"observation_digest":"sha256:b54a2b3adbcbc00bef16ab10ef9f4dbe0c262ea520319c6d25b54424ab318ce4","observation_id":"ac48c2da-d78d-4d2c-8b3a-35a2f093b86a","resolution":{"observed_at":"2026-06-28T17:22:24.703548Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.20081","last_updated":"2023-10-26T12:25:02Z","snapshot_observed_at":"2026-08-03T10:02:56.003909Z","submitted_at":"2023-05-31T17:55:21Z","title":"Efficient Diffusion Policies for Offline Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"2305.20081","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.20081","snapshot_observed_at":"2026-07-03T04:37:37.570272Z","title":"Space odyssey: An experimental software security analysis of satellites","venue":null,"work_id":"3027c38d-d1e6-44fa-a941-47e7b2143299","year":2023},"citing_paper":{"arxiv_id":"2606.10825","last_updated":"2026-06-09T13:09:21Z","snapshot_observed_at":"2026-07-06T23:49:56.404171Z","submitted_at":"2026-06-09T13:09:21Z","title":"MODIP: Efficient Model-Based Optimization for Diffusion Policies","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-06-27T13:44:19.708550Z"},"links":{"cited_paper":"/paper/2305.20081","citing_paper":"/paper/2606.10825"},"observation_digest":"sha256:942d033ca3176eadfe77b47bbcd334c9237d18c242cf8ad4f551fe4d87a6dc0c","observation_id":"19d1b665-c237-462b-8895-28431f5e2fd3","resolution":{"observed_at":"2026-07-03T04:37:37.571841Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2305.20081/citation-record","integrity":"/paper/2305.20081/integrity","json":"/paper/2305.20081/citation-record.json","paper":"/paper/2305.20081"},"outbound":[],"paper":{"arxiv_id":"2305.20081","last_updated":"2023-10-26T12:25:02Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T10:02:56.003909Z","submitted_at":"2023-05-31T17:55:21Z","title":"Efficient Diffusion Policies for Offline 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2305.20081."}