{"as_of":"2026-08-18T13:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:974a7d92f90b952ad3b1d9de029d3eef2871ed7a2cfeda024ca08c82a9898678","coverage":[{"denominator":29,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":29,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:04:42.559274Z","state":"measured"},{"denominator":29,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":29,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+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/2507.19965/citation-record","integrity":"/paper/2507.19965/integrity","json":"/paper/2507.19965/citation-record.json","paper":"/paper/2507.19965"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-06T14:04:40.551200Z","title":"Optimal control","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.551200Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:f700cd34c6d0a4d8df541bad6b433ab76a582d31e6f4b6a2784e1fe8591eac5a","observation_id":"a50bc3cd-d276-467e-b1ea-be96f0784ce6","resolution":{"observed_at":"2026-08-06T14:04:40.551200Z","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":"2026-08-06T14:04:42.855566Z","title":"From inverse optimal control to inverse reinforcement learning: A historical review","venue":null,"work_id":"f03a591a-81a4-4dd0-a3fa-d6bf2f76cc8c","year":2020},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.559246Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:8f46e42ffff06e51b236a1cc64da617af5df5b8b8fdf7a2d083187fad9460c78","observation_id":"861f4926-f2a9-4789-9d6f-93f1f68c0479","resolution":{"observed_at":"2026-08-06T14:04:42.858572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.846754Z","title":"A survey of inverse reinforcement learning","venue":null,"work_id":"9138c98a-86a4-4765-8bb5-6224d56c65fb","year":2022},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.637739Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:cb0a4f6c422eb6b7c88db6a6c78703d1814ad46a22f97cdd3b7f0efe8f5a24ad","observation_id":"4cb63614-0365-4b67-bec5-50edff9cc1a1","resolution":{"observed_at":"2026-08-06T14:04:42.849644Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.837565Z","title":"A survey of inverse reinforcement learning: Challenges, methods and progress","venue":null,"work_id":"c2bc77fb-1e00-4b97-9b56-06865922458c","year":2021},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.749371Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:986d61631b091de63a7327195050fca96f7f9f675818961eb171236620c7869a","observation_id":"79888701-9476-4a0a-8034-99bbba808547","resolution":{"observed_at":"2026-08-06T14:04:42.840634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.828142Z","title":"Inverse optimization: Theory and applications","venue":null,"work_id":"10a3e9c8-a18f-4ad4-8424-603be9c1f4aa","year":2025},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.859346Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:6bf109ddae52e7d22ea39b6512050899031633404c48c84175b299b47d3cb944","observation_id":"247cfb7e-fbea-4ae2-b1ad-3197116dc960","resolution":{"observed_at":"2026-08-06T14:04:42.831102Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.819131Z","title":"When is a linear control system optimal? Journal of Basic Engineering , 86(1):51–60, 1964","venue":null,"work_id":"405466c6-fdb9-4df5-8c65-47e5e3a59034","year":1964},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:40.970894Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:b1754ae46475b0949a3a8b0767b01aad888c602a728154a5bc916d02850a1d67","observation_id":"5ee41248-9ae1-4155-b760-5f064f741add","resolution":{"observed_at":"2026-08-06T14:04:42.822121Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.809642Z","title":"Linear matrix inequalities in system and control theory","venue":null,"work_id":"2f4fe80a-99fc-4bf7-bfd9-aedc3c476a21","year":1994},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.087798Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:d41bfa1ad4700ee9b918f26558b519a616ad268f350125442d7ad134810b1264","observation_id":"604a6aeb-e6b6-403d-bdf7-409872eefe42","resolution":{"observed_at":"2026-08-06T14:04:42.813039Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.800441Z","title":"Inverse optimal control for discrete-time finite- horizon linear quadratic regulators","venue":null,"work_id":"7612563e-2576-480e-870f-6611cae040b8","year":2019},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.213471Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:f5470ef2ba08f7b81a0b99cd2436066b635e1ab973061cf921c46a78436889d8","observation_id":"63a9aace-954a-48a1-bc73-68dbf6bf4b95","resolution":{"observed_at":"2026-08-06T14:04:42.803530Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.790783Z","title":"Statistically consistent inverse optimal control for linear-quadratic tracking with random time horizon","venue":null,"work_id":"04c704ca-90ab-490f-8a03-ae66ea56673d","year":2022},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.375676Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:2fcc052139eb774b710800b8c94afb500ce160805cbcb3e85a49cb13354ec7bb","observation_id":"7c92f468-2a16-484c-a11d-6b661e4344df","resolution":{"observed_at":"2026-08-06T14:04:42.793785Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.781761Z","title":"Inverse kalman filtering problems for discrete- time systems","venue":null,"work_id":"0bb117b0-dacf-4cbb-b4de-3a2614c49856","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.458097Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:55f3edeec0cda8373f60268a6ee921f2767594a20ddfe654da2fb0183759855c","observation_id":"525aab2e-f45c-483b-9387-8ba0f9d1859b","resolution":{"observed_at":"2026-08-06T14:04:42.784598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.772861Z","title":"Bi-level-based inverse stochastic optimal control","venue":null,"work_id":"2a493263-6ca9-4adc-b185-76300185309e","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.625253Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:f4ab0796eb02414fc132be491ba10282c8defb4582b48d2fe63fa3da630c83bc","observation_id":"9111d903-0444-45be-9296-8ba735a45161","resolution":{"observed_at":"2026-08-06T14:04:42.775688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.763750Z","title":"Discrete-time inverse optimal control with partial-state information: A soft-optimality approach with constrained state estimation","venue":null,"work_id":"14794971-ca7e-486f-8d75-8334f2592f86","year":2016},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.789582Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:b4952e227de0af64ec26b3f9a9a3a1e4f8f7d2ac15a0991b1e708b1924c3d426","observation_id":"04f14648-cd98-44d6-82d8-041eee0d2480","resolution":{"observed_at":"2026-08-06T14:04:42.766893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.754670Z","title":"Control law learning based on LQR reconstruction with inverse optimal control","venue":null,"work_id":"744d0985-6dd6-41b5-8172-c162a6ca9db8","year":2025},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:41.938402Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:350dc06fbcaea9a21215c6ad9426de9e91cdc99059d21d323d19a3510fce7b6b","observation_id":"206e4231-8149-4935-b8ec-0a8f54629248","resolution":{"observed_at":"2026-08-06T14:04:42.757629Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.14270","last_updated":"2024-06-20T12:51:51Z","snapshot_observed_at":"2026-08-17T05:08:32.044452Z","submitted_at":"2024-06-20T12:51:51Z","title":"Inverse optimal control problem in the non autonomous linear-quadratic case","version":1},"cited_work":{"arxiv_id":"2406.14270","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.14270","snapshot_observed_at":"2026-08-06T14:04:42.630828Z","title":"Inverse optimal control problem in the non autonomous linear-quadratic case","venue":"math.OC","work_id":"8c3134b6-27dd-4015-bfc3-ee28a8052e83","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.001405Z"},"links":{"cited_paper":"/paper/2406.14270","citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:5748de1e82f8008f0192a33b8cb50cf2736ed3ffc870452e1f9f870c6debc768","observation_id":"b8f7b51b-b8e2-425b-b362-282c152f9732","resolution":{"observed_at":"2026-08-06T14:04:42.634028Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.745739Z","title":"Inverse linear-quadratic discrete-time finite-horizon optimal control for indistinguishable homogeneous agents: A convex optimization approach","venue":null,"work_id":"894670cb-eb4d-4c07-9871-c62d47169562","year":2023},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.117342Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:ea29ec4acbd54658127d86ace7575769886e899ab806f1b6207f672e4463e092","observation_id":"091d802e-f0af-4484-b0fb-d978bbcdf91d","resolution":{"observed_at":"2026-08-06T14:04:42.748728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.735708Z","title":"Inverse optimal control for passive network systems","venue":null,"work_id":"d39a2379-a914-4979-8d2f-e97b21e7b1ba","year":2025},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.220458Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:404cdbd386634ba857b3bce0416eec06534c66c012cd4ddd66c952ee897294d0","observation_id":"b70fe1f7-d2b3-4420-a86a-1de327b1f7ea","resolution":{"observed_at":"2026-08-06T14:04:42.739074Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.10884","last_updated":"2026-07-09T14:13:08Z","snapshot_observed_at":"2026-08-16T19:41:51.015315Z","submitted_at":"2024-09-17T04:40:40Z","title":"3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems","version":2},"cited_work":{"arxiv_id":"2409.10884","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.10884","snapshot_observed_at":"2026-08-06T14:04:42.617586Z","title":"3DIOC: Direct Data-Driven Inverse Optimal Control for LTI Systems","venue":"math.OC","work_id":"7973fbfe-d254-4c04-958e-b951f3bc9446","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.305104Z"},"links":{"cited_paper":"/paper/2409.10884","citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:1aabf8fac7ff286334ac292508e8287308cfb8ccb6e87c9af60c2c2f1ed8b62c","observation_id":"481cb56f-69b8-49bc-bc26-898ca4a8eae7","resolution":{"observed_at":"2026-08-06T14:04:42.620841Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.726432Z","title":"Inverse reinforcement Q-learning through expert imitation for discrete-time systems","venue":null,"work_id":"d7fae376-89ed-4802-a551-157f6d14bac6","year":2021},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.344966Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:cbb5133826140e15315c4008cefe1d8ba0aeabff2569dba73dd01c77bacdebf2","observation_id":"eba8ac5c-d7ab-487a-80dd-84d50826790f","resolution":{"observed_at":"2026-08-06T14:04:42.729366Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.717439Z","title":"Inverse reinforcement learn- ing for trajectory imitation using static output feedback control","venue":null,"work_id":"d16b68e6-d0e0-4e6f-8d1c-36201c5d715f","year":2023},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.414932Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:59045adf0e6bd8264813b45533dd1bad86c27278a1c49d5cab5de6be561ebcf4","observation_id":"57f4a6f9-46ed-4057-99a1-e668d92be0ed","resolution":{"observed_at":"2026-08-06T14:04:42.720399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.708207Z","title":"Off-policy inverse Q-learning for discrete-time antagonistic unknown systems","venue":null,"work_id":"b709cfea-d0ca-4ac1-866d-e3ef07a0c1a2","year":2023},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.427821Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:e8f971945dc324e69201c6598ac45497784c87e574522d67dc484fb792c15d5f","observation_id":"1617ea9d-c194-45d4-8504-8d857de1fa06","resolution":{"observed_at":"2026-08-06T14:04:42.711193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.698192Z","title":"A low complexity approach to model-free stochastic inverse linear quadratic control","venue":null,"work_id":"a22e68cb-3637-4550-b260-d3c6e714adb8","year":2022},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.534438Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:48828c537b9dd8b3c8500f9422cfa9ce6293194fe88d4887e1ce1bf1e8bc2aaf","observation_id":"5766b37a-aa22-4fb7-9ac8-a8c75ccaa1ba","resolution":{"observed_at":"2026-08-06T14:04:42.701963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.688862Z","title":"Pontryagin differentiable program- ming: An end-to-end learning and control framework","venue":null,"work_id":"8f60f48e-b5d0-488a-a046-da8480e0a869","year":2020},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.537302Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:8760ad727cb0cf8f728e4a955c4df6e8afcb2000b367c2189ce9f502d4be8f24","observation_id":"e124ef63-59ab-4ffb-a6ab-18722bea609b","resolution":{"observed_at":"2026-08-06T14:04:42.691993Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.678926Z","title":"Safe pontryagin differentiable programming","venue":null,"work_id":"293d8cc1-a5e0-442f-816a-dc7d17c09e64","year":2021},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.540538Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:8e8f230a18e0a4fc9ec9079589dea2f58c6748332938d7b070f82f017e16c2d5","observation_id":"a2c051ff-d446-402d-bb8f-d5e5ee10cad0","resolution":{"observed_at":"2026-08-06T14:04:42.681975Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.19902","last_updated":"2024-07-29T11:26:17Z","snapshot_observed_at":"2026-08-16T13:30:16.912365Z","submitted_at":"2024-07-29T11:26:17Z","title":"A Differential Dynamic Programming Framework for Inverse Reinforcement Learning","version":1},"cited_work":{"arxiv_id":"2407.19902","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.19902","snapshot_observed_at":"2026-08-06T14:04:42.603839Z","title":"A Differential Dynamic Programming Framework for Inverse Reinforcement Learning","venue":"cs.RO","work_id":"04d6c803-5faf-41a5-9394-2f84fb783549","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.543211Z"},"links":{"cited_paper":"/paper/2407.19902","citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:8afbb9d366d753cd453edbb7278252003a57531c2b278e39ea1f20556ee1b70c","observation_id":"f8502a5e-62f9-486c-a993-55d67fa17e57","resolution":{"observed_at":"2026-08-06T14:04:42.607546Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.669978Z","title":"Trust-region inverse reinforcement learning","venue":null,"work_id":"ac75bd40-cc39-4163-9dde-ada78d87dd2c","year":2023},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.546407Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:c7f9c1613a9e62458f209ab10d2a3fa8f4c2a8b65bab8a8643d202df8c065a5b","observation_id":"bdf64429-7766-4483-bb35-a4b54705feb7","resolution":{"observed_at":"2026-08-06T14:04:42.672855Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.660656Z","title":"Iteration complexity analysis of block coordinate descent methods","venue":null,"work_id":"27a1c2a7-35ab-40d0-8878-6bd0dd8ca3b7","year":2017},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.549994Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:10003df8f2ce0720aa07142992feb3161da570cfe5329779fada7a3a040305e3","observation_id":"54688dec-cf2b-4203-98f7-3f2c407c0bc4","resolution":{"observed_at":"2026-08-06T14:04:42.663660Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.11168","last_updated":"2024-12-10T03:52:23Z","snapshot_observed_at":"2026-08-16T23:13:38.342697Z","submitted_at":"2024-06-17T03:17:33Z","title":"Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control","version":4},"cited_work":{"arxiv_id":"2406.11168","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.11168","snapshot_observed_at":"2026-08-06T14:04:42.586934Z","title":"Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control","venue":"math.OC","work_id":"9c5589e0-e136-4997-bbc8-03ba13d313d0","year":2024},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.553308Z"},"links":{"cited_paper":"/paper/2406.11168","citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:754fad27d302e2106d04c17da64812b548ea6256ea2e367e2a85b77616d1888f","observation_id":"1b0f569e-8b84-48e8-9ada-e0ea770ccbb3","resolution":{"observed_at":"2026-08-06T14:04:42.592062Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.650695Z","title":"Nonuniqueness and convergence to equivalent solutions in observer-based inverse reinforcement learning.Automatica, 171:111977, 2025","venue":null,"work_id":"92eb9abd-46ba-496b-8ea8-ca7996f680c7","year":2025},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.556403Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:7d7cec7060f9ec9134ec299a936afae047b2cae7ae600396315a622ff8d2f377","observation_id":"8d2e672b-0526-42cb-a709-2170a2814a76","resolution":{"observed_at":"2026-08-06T14:04:42.654152Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+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":"2026-08-06T14:04:42.641157Z","title":"System identification—a survey.Automatica, 7(2):123–162, 1971","venue":null,"work_id":"ffb603a6-c7d7-40a3-95a2-3486528b64f4","year":1971},"citing_paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-06T14:04:42.559274Z"},"links":{"citing_paper":"/paper/2507.19965"},"observation_digest":"sha256:f9f2aa52571839569bc6225edf0a338d0c17c369c30cc8ff370d77b1b96093b6","observation_id":"4c827528-9b6d-4d29-abbc-e28866ad7ce6","resolution":{"observed_at":"2026-08-06T14:04:42.644122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2507.19965","last_updated":"2025-07-26T14:37:57Z","latest_version":1,"primary_category":"math.OC","snapshot_observed_at":"2026-08-13T23:51:43.104851Z","submitted_at":"2025-07-26T14:37:57Z","title":"A Convex Optimization Approach to Model-Free Inverse Optimal Control with Provable Convergence"},"reference_resolution":{"displayed":29,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":4,"verified_fuzzy":24},"total_outbound_references":29},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.19965."}