{"as_of":"2026-08-09T16:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4bd4bb999eb67655cc82b7980955baa2a587ee103262389b9a9ea0c74d54c4df","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T22:05:09.494808Z","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":"2026-05-20T21:49:05.130611Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-08-05T22:05:09.494808Z","title":"Reinforcement learning for safety-critical control under model uncertainty, using control lyapunov functions and control barrier functions,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2508.07611","last_updated":"2025-08-11T04:33:04Z","snapshot_observed_at":"2026-08-08T03:19:03.885510Z","submitted_at":"2025-08-11T04:33:04Z","title":"End-to-End Humanoid Robot Safe and Comfortable Locomotion Policy","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-05T22:05:09.494808Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2508.07611"},"observation_digest":"sha256:599e65d8800cdc10a8c88b5374c4af0e340fa717d3f5db63140fad321de21ec8","observation_id":"2877749d-f7df-44f7-83e2-0f8770367141","resolution":{"observed_at":"2026-08-05T22:05:09.494808Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2004.07584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":"ba6a963e-8321-4ea9-947c-f9fc07646fcf","year":2004},"citing_paper":{"arxiv_id":"2508.09128","last_updated":"2026-05-12T01:20:33Z","snapshot_observed_at":"2026-07-06T22:11:57.493922Z","submitted_at":"2025-08-12T17:55:36Z","title":"A Review On Safe Reinforcement Learning Using Lyapunov and Barrier Functions","version":4},"reference_index":118,"source":"pdf_text","source_observed_at":"2026-05-18T22:37:32.388931Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2508.09128"},"observation_digest":"sha256:6643341bb41487fadc1b61369a5abdba50641fa42a2489404d269739033ae52c","observation_id":"127b2b4c-1291-4157-9210-09f7e99d99f2","resolution":{"observed_at":"2026-05-18T22:41:53.868627Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2004.07584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":"ba6a963e-8321-4ea9-947c-f9fc07646fcf","year":2004},"citing_paper":{"arxiv_id":"2511.09784","last_updated":"2026-04-30T02:27:47Z","snapshot_observed_at":"2026-07-06T22:35:41.533403Z","submitted_at":"2025-11-12T22:35:26Z","title":"Robust Time-Varying Control Barrier Functions with Sector-Bounded Nonlinearities","version":4},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-17T21:52:48.538684Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2511.09784"},"observation_digest":"sha256:6d36d6be85d40543b0e1432ea85accabf82cc033cb0e15f6449de44add9b1ed6","observation_id":"9af169ec-02f8-49d2-adc3-2c855a88b33c","resolution":{"observed_at":"2026-05-17T21:55:20.246679Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2004.07584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":"ba6a963e-8321-4ea9-947c-f9fc07646fcf","year":2004},"citing_paper":{"arxiv_id":"2511.19651","last_updated":"2026-04-12T19:02:00Z","snapshot_observed_at":"2026-07-06T22:36:49.325569Z","submitted_at":"2025-11-24T19:32:02Z","title":"Online Learning-Enhanced High Order Adaptive Safety Control","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-17T05:40:26.418489Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2511.19651"},"observation_digest":"sha256:a8b5d27876db8fba06d05a9030adf35d2109ad1acae2f7a913bb659401109f1e","observation_id":"8674d934-a8ac-47bb-b313-1073bd798cf5","resolution":{"observed_at":"2026-05-17T05:41:33.749993Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2004.07584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":"ba6a963e-8321-4ea9-947c-f9fc07646fcf","year":2004},"citing_paper":{"arxiv_id":"2605.18841","last_updated":"2026-05-13T03:34:13Z","snapshot_observed_at":"2026-08-05T22:27:31.931509Z","submitted_at":"2026-05-13T03:34:13Z","title":"From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-20T21:48:43.143169Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2605.18841"},"observation_digest":"sha256:5c101b6a9177a200df5cd6e6da3eda8431b51ea34bb874987014440035632282","observation_id":"dca8d27a-e78b-4493-b30d-a0ede3f3aa32","resolution":{"observed_at":"2026-05-20T21:49:05.132379Z","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":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":"2004.07584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":"ba6a963e-8321-4ea9-947c-f9fc07646fcf","year":2004},"citing_paper":{"arxiv_id":"2605.18842","last_updated":"2026-05-13T04:10:10Z","snapshot_observed_at":"2026-08-07T21:40:01.056353Z","submitted_at":"2026-05-13T04:10:10Z","title":"Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-05-20T21:36:33.206033Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2605.18842"},"observation_digest":"sha256:cfe53326b040c795d3e9890b94df846045ffc4c8d6f96960b4c020448fc46928","observation_id":"1e0d701a-6020-440d-8d6a-a4482eb9f5ce","resolution":{"observed_at":"2026-05-20T21:39:03.481990Z","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":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-08-01T09:44:51.066650Z","title":"arXiv preprint arXiv:2004.07584 , year=","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.20674","last_updated":"2026-07-22T19:17:11Z","snapshot_observed_at":"2026-08-08T15:46:24.561086Z","submitted_at":"2026-07-22T19:17:11Z","title":"End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-01T09:44:51.066650Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2607.20674"},"observation_digest":"sha256:258d46230c2b77f529544c3743b4cf828578c6fcb440d860d0b2773c2482cd3c","observation_id":"e8bac241-d4ae-41bd-8515-69a218565e44","resolution":{"observed_at":"2026-08-01T09:44:51.066650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.07584","last_updated":"2020-06-04T17:07:52Z","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.07584","snapshot_observed_at":"2026-08-01T12:15:37.767135Z","title":"arXiv preprint arXiv:2004.07584 , year =","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2607.21646","last_updated":"2026-07-21T23:52:07Z","snapshot_observed_at":"2026-08-05T15:35:37.445197Z","submitted_at":"2026-07-21T23:52:07Z","title":"Adjustment Speed as a Safety Constraint for Nonstationary Reinforcement Learning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-01T12:15:37.767135Z"},"links":{"cited_paper":"/paper/2004.07584","citing_paper":"/paper/2607.21646"},"observation_digest":"sha256:bd81a084c19e43a18f73ad627c3b5cdacc276ebab41b223646a7b45f351cb5ca","observation_id":"38bdd9dd-2513-48fb-ae80-0f34c693c2c0","resolution":{"observed_at":"2026-08-01T12:15:37.767135Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2004.07584/citation-record","integrity":"/paper/2004.07584/integrity","json":"/paper/2004.07584/citation-record.json","paper":"/paper/2004.07584"},"outbound":[],"paper":{"arxiv_id":"2004.07584","last_updated":"2020-06-04T17:07:52Z","latest_version":2,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-09T06:26:36.912232Z","submitted_at":"2020-04-16T10:51:33Z","title":"Reinforcement Learning for Safety-Critical Control under Model Uncertainty, using Control Lyapunov Functions and Control Barrier Functions"},"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 8 inbound Pith citation observations for arXiv:2004.07584."}