{"as_of":"2026-08-19T11:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:25473158ea26b2f59c0c1f2ef69e2505cbfb90d27f8f0339e18543f257ef5469","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T04:20:52.925128Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.01569/citation-record","integrity":"/paper/2505.01569/integrity","json":"/paper/2505.01569/citation-record.json","paper":"/paper/2505.01569"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.268950Z","title":"Passivity-based control of nonlinear systems: A tutorial,","venue":null,"work_id":"aa0bb29b-b822-486a-87b0-bb65deb47081","year":1997},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.831921Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:a2f87042f8e12623de30be66d3867223f0f3e4fa3cfa9b5157b0d17af0c7aaab","observation_id":"0a700c40-e561-484c-aa2f-3bab10d4d1d3","resolution":{"observed_at":"2026-08-16T04:20:53.272616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.836705Z","title":"Hatanaka, N","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.836705Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:4f62710f53fa0a4d1410f7f7621f0fa081814feb1b7ce04b7b2799fc29605c26","observation_id":"ee6aca59-52a0-44b4-952f-c9d341aa2e99","resolution":{"observed_at":"2026-08-16T04:20:52.836705Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.250941Z","title":"Passivity-based controllers for the stabilization of dc-to-dc power converters,","venue":null,"work_id":"cda0c8d8-fb76-4606-b4ec-eed70229c6f4","year":1997},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.840725Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:4c3b9c939d729a727e672748d27c8490a63c95f0050a3bb9ad05537ddf197ad6","observation_id":"98a2e18c-834c-4ce4-9302-93a684a9154c","resolution":{"observed_at":"2026-08-16T04:20:53.254891Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.239638Z","title":"Intercon- nection and damping assignment passivity-based control of mechan- ical systems with underactuation degree one,","venue":null,"work_id":"6dfb9e7a-6468-4573-8cc9-53967173fe3b","year":1936},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.844630Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:1bc630a74ac42e947a50b1ac44bba821dd74b0771aca3d78dd181f3f9328911b","observation_id":"e32f3b5b-6e2b-4f7b-9823-b9bf29a9997b","resolution":{"observed_at":"2026-08-16T04:20:53.243482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.848411Z","title":"Van der Schaft, L2-gain and passivity techniques in nonlinear control","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.848411Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:8a71a545938fbfe44270414a82e408c6e0d96a60dda3bcbc235fb53cff68bcf9","observation_id":"ecca1f6c-b0b4-4e48-92c5-f3925668e345","resolution":{"observed_at":"2026-08-16T04:20:52.848411Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.222120Z","title":"Inter- connection and damping assignment passivity-based control of port- controlled Hamiltonian systems,","venue":null,"work_id":"a54fcd2f-1de2-4d58-a848-8227bae73dfe","year":2002},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.851956Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:2f4d0731a54b49c3f85d3e14855a52506aba4bbd2d3bad7f7f88d20f83d2a1d0","observation_id":"6c880ce3-854e-4f10-b646-8f57cde22809","resolution":{"observed_at":"2026-08-16T04:20:53.225716Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.211824Z","title":"Physical damping in ida- pbc controlled underactuated mechanical systems,","venue":null,"work_id":"2c18e8f2-0635-42a8-adf5-1da7678837ad","year":2004},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.856320Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:72efad368699c4b37b548e994f658519c37ce96991ca53dd8bddc19aeb9f8ece","observation_id":"7eb1f993-ff31-41d8-b7ac-5b3a675abc65","resolution":{"observed_at":"2026-08-16T04:20:53.215422Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.201251Z","title":"Interconnection and damping assignment passivity-based control: A survey,","venue":null,"work_id":"35905126-1d2f-4deb-a1d1-195c46892a27","year":2004},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.859872Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:8a3d830ced39e63cdf539f1a71c55010613eff41bc836ec1a18d81f40abc2610","observation_id":"6fc0d666-f0e1-49c4-92aa-d753a1a472d2","resolution":{"observed_at":"2026-08-16T04:20:53.205252Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.190666Z","title":"Optimal task-invariant energetic control for a knee-ankle exoskeleton,","venue":null,"work_id":"053eef93-ade4-454c-9fae-a6bb05c88ebe","year":2021},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.863196Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:620ee69b70eabe672ac5fa21d6ac18cc58be029b5bb6e47d064dcf04ef2ef238","observation_id":"5c440893-638f-4868-8fdb-221f83478f62","resolution":{"observed_at":"2026-08-16T04:20:53.194438Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.179298Z","title":"Modified energy-balancing-based control for the tracking problem,","venue":null,"work_id":"69196587-d867-4f52-bf93-a30d16a85600","year":2008},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.866946Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:a5b184b01afe8240f630a4aa359262aea1a18bda2e7980888dec4a25bad07179","observation_id":"6cb6231c-a10b-4023-bab1-c45a91f35bc1","resolution":{"observed_at":"2026-08-16T04:20:53.183167Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.166729Z","title":"Port- Hamiltonian systems in adaptive and learning control: A survey,","venue":null,"work_id":"6564dd26-bf6f-424e-99e0-cd253e80cd74","year":2015},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.870241Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:152a929b5230856773c64b9652c05c1508b88720f0f94f3ee15f0cae179540e2","observation_id":"d285fc74-63e8-4d87-a639-2bf34c0bbf68","resolution":{"observed_at":"2026-08-16T04:20:53.170631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.153506Z","title":"Simultaneous stabilization of a set of nonlinear port-controlled hamiltonian systems,","venue":null,"work_id":"bebed069-2de8-471d-ab1b-77fb14242494","year":2007},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.873973Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:793d78947140c6603ff469fc7c7a4b81870d922c5c706c16ca7639c281d2cee9","observation_id":"c3a51346-760d-41c5-9763-2a0f6b5594f2","resolution":{"observed_at":"2026-08-16T04:20:53.159724Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.136380Z","title":"Adaptive tracking control of fully actuated port-Hamiltonian mechanical systems,","venue":null,"work_id":"3391e8f1-246f-49d0-9042-bacef5d2f887","year":2010},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.877610Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:514c13b71ea953551e620c33196a85d83f061dc63557e410e43b2322f21a12ac","observation_id":"9ae49f6c-92a6-4b68-be79-01a75f9f63f5","resolution":{"observed_at":"2026-08-16T04:20:53.140753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.120229Z","title":"Rein- forcement learning for port-Hamiltonian systems,","venue":null,"work_id":"7cca306c-ad0b-4ec2-b461-b91fdbf557d6","year":2014},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.880986Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:6fadbd9189625b6f36f4f06a3ce812f106abab9152710b2756fd8715cea4ceba","observation_id":"a4acceb1-d04f-4802-aac7-c63ef6c5163a","resolution":{"observed_at":"2026-08-16T04:20:53.126885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.100478Z","title":"Iterative learning control of Hamiltonian systems: I/o based optimal control approach,","venue":null,"work_id":"31069a87-4151-4063-80ad-1708dce87cfd","year":2003},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.884616Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:8c0cb7a02724a5591df613ed7f69e4a176564e098a17cadbabdcd96d94e14364","observation_id":"bcdfa998-b2a6-4393-8f78-4391ea702a9b","resolution":{"observed_at":"2026-08-16T04:20:53.106791Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.085686Z","title":"On iterative learning control of nonholonomic Hamil- tonian systems,","venue":null,"work_id":"65ceb231-d232-483c-99c9-7cc1e54942bd","year":2004},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.888340Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:74fdff6385b806c3fe84fd42c588eb5a5a4890e9d81dcbffe4d7b817e347d9ae","observation_id":"0bc42d18-3d10-41df-bcc8-b8a90453ac1b","resolution":{"observed_at":"2026-08-16T04:20:53.090764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.070300Z","title":"A robust IDA-PBC approach for handling uncertainties in underactuated mechanical systems,","venue":null,"work_id":"fa534a7f-b850-4a20-a089-6adb8b7a454a","year":2018},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.891872Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:66942a21b291c4d46244a0f39481c2b1e132dc1ab062d5a662d9383d90fc359c","observation_id":"7fc86003-4c93-4a52-b798-84b69ced17d0","resolution":{"observed_at":"2026-08-16T04:20:53.074260Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.12782","last_updated":"2021-11-25T01:30:56Z","snapshot_observed_at":"2026-08-16T18:14:53.160249Z","submitted_at":"2021-06-24T06:13:20Z","title":"Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.12782","snapshot_observed_at":"2026-08-16T04:20:52.895414Z","title":"Hamiltonian-based neural ode networks on the se (3) manifold for dynamics learning and control,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.895414Z"},"links":{"cited_paper":"/paper/2106.12782","citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:c6e1b056def16675f9b361372d3eb5728664fbab4c1db4e67e86d5a7a641022a","observation_id":"93674993-452f-4758-b54d-a2e56ab70f90","resolution":{"observed_at":"2026-08-16T04:20:52.895414Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.057962Z","title":"Data-driven Bayesian control of port-Hamiltonian sys- tems,","venue":null,"work_id":"db03ac3f-1059-467c-b77c-77018e412b58","year":2023},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.899403Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:071f790efcf9a30d13c0311a4a031d6516084b455a13ea371d1a95d305dc4776","observation_id":"356adf9e-e006-4ad4-aa86-5194b1a4d434","resolution":{"observed_at":"2026-08-16T04:20:53.062672Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.044548Z","title":"Port-Hamiltonian systems theory: An introductory overview,","venue":null,"work_id":"0cebc42f-63df-44ab-ade9-7eb40800cbb8","year":2014},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.903231Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:ab2ca67e51b5e3ac853eb854d01b61e2deb1f8a81ba51c1bc8d9f3cdf2b289de","observation_id":"03026f6e-c08b-4a84-bb5a-8ed560f12116","resolution":{"observed_at":"2026-08-16T04:20:53.048942Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.026571Z","title":"Gaussian process port-Hamiltonian systems: Bayesian learning with physics prior,","venue":null,"work_id":"45eb6462-7f4c-4b8e-bfde-20ec6f7a0482","year":2022},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.906645Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:2d756332dfb700fcc5a4daf45aa0fcef272e94dca5735debac4b78ecf7c273a6","observation_id":"184a8c49-ef9c-4376-a4c5-26b5c1599ef0","resolution":{"observed_at":"2026-08-16T04:20:53.031853Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:53.013621Z","title":null,"venue":null,"work_id":"3027e76e-c4f6-4945-b1dc-ad8eedd9a16a","year":2006},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.910257Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:252d173a6b210b7c59bd879993afafc96491f95d55bf73f760d4c9fcb75cda8a","observation_id":"36227b16-54ee-4a1b-b0d1-3ce2d31eca9f","resolution":{"observed_at":"2026-08-16T04:20:53.017965Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.999050Z","title":"Information-theoretic regret bounds for Gaussian process optimiza- tion in the bandit setting,","venue":null,"work_id":"f6d4713d-cc40-4165-84ec-233a54f319c2","year":2012},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.913704Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:1f3b94b5ae80248cd4acf5ec4d55128460c964d8c927bee071186ee067488d5c","observation_id":"63840f8d-7958-46d4-8101-44d2952fab42","resolution":{"observed_at":"2026-08-16T04:20:53.004545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.986987Z","title":"Stability of dynamical systems,","venue":null,"work_id":"486a74f9-89d9-46a4-9226-dca7acee6beb","year":2008},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.917297Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:fe3c41922452bf1d9f0caeabb23e66bf579da27b5dd200fe6739e80e5bb7c27e","observation_id":"f558b0f0-8a45-4a6b-98f5-89b5e4d779da","resolution":{"observed_at":"2026-08-16T04:20:52.991090Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.974946Z","title":"Passivity based design of synchronizing systems,","venue":null,"work_id":"6c236aa6-8ec6-4ab2-8261-d467818c71c9","year":1998},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.921477Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:5fbed3dd7c2093e04a6b16ae21dbf8374a08d57a3cf84ed2ea9aa0d576d162a9","observation_id":"73485eb3-56d4-4d56-871c-3d1938a06378","resolution":{"observed_at":"2026-08-16T04:20:52.978952Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T04:20:52.962316Z","title":"Nonlinear dynamic output feedback stabilization of electrostatically actuated mems,","venue":null,"work_id":"77225d49-5a5a-4ec3-b3b8-37150c357b7b","year":2003},"citing_paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T04:20:52.925128Z"},"links":{"citing_paper":"/paper/2505.01569"},"observation_digest":"sha256:a114f62df4540f82d9009c2e808a127f3483ac181e43c82b666ef133081868ac","observation_id":"df35bb7c-661f-4780-ac84-f610d57ac291","resolution":{"observed_at":"2026-08-16T04:20:52.967700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.01569","last_updated":"2025-05-02T20:22:03Z","latest_version":1,"primary_category":"eess.SY","snapshot_observed_at":"2026-08-19T08:04:33.039744Z","submitted_at":"2025-05-02T20:22:03Z","title":"Physics-informed Learning for Passivity-based Tracking Control"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":26},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2505.01569."}