{"as_of":"2026-08-14T18:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9fa8f07c717c39c35dd368cddbcce74ce52e3cf7130223c341e3feeae9ee3ff1","coverage":[{"denominator":45,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":45,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T16:35:18.669409Z","state":"measured"},{"denominator":45,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":45,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2512.13009/citation-record","integrity":"/paper/2512.13009/integrity","json":"/paper/2512.13009/citation-record.json","paper":"/paper/2512.13009"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:13.692013Z","title":"Industry 4.0: The future of productivity and growth in manufacturing industries,","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:13.692013Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:2efafdf43c8c8ecea3a641a39538009bfec894a55a5f2e2a5ecb73ab3b3c7745","observation_id":"b78b48d9-5ef3-4288-9200-3f825a7e4747","resolution":{"observed_at":"2026-08-03T16:35:13.692013Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:13.838537Z","title":"Collaborative robots in manufacturing and assembly systems: literature review and future research agenda,","venue":null,"work_id":null,"year":2065},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:13.838537Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:3855d2d1a09b4dd5c562ae61e4ce6392b94d101d3c5559b847f171b22a73d746","observation_id":"b6d68385-bfee-4edd-87e8-907d784332da","resolution":{"observed_at":"2026-08-03T16:35:13.838537Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.042572Z","title":"Review on robot-assisted polishing: Status and future trends,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.042572Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:3607b3c19fec4fd905e87d2319adcfd16d6bbd261293bc1e4bdc300c1c6c9886","observation_id":"40d61237-bf3d-4529-954c-ab3f79da2239","resolution":{"observed_at":"2026-08-03T16:35:14.042572Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.185370Z","title":"Sensorless force estimation for industrial robots using disturbance observer and neural learning of fric- tion approximation,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.185370Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:0beab3599f9818de3ee9303f14ae7d18d92a97fad90b4ece3b92dd9adc3529c1","observation_id":"84a8fa4d-a90a-42a4-abcc-d56261a789a0","resolution":{"observed_at":"2026-08-03T16:35:14.185370Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.303743Z","title":"Collision detection and external force estimation for robot manipulators using a composite momentum observer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.303743Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:dfd136e9d914a8d1ec3a26c12f9df11e0bc2d7c193e3aaf67a82e7fee9c9691d","observation_id":"24428fec-5e2d-439f-9bba-be0ad3516561","resolution":{"observed_at":"2026-08-03T16:35:14.303743Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.417643Z","title":"Toward sensorless interaction force estimation for industrial robots using high-order finite- time observers,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.417643Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:ee26c1317e3bf06884ba2e7f118e23afdcc07c36b3fec7239ed905f9a4193db0","observation_id":"628f0649-5372-4b06-82e8-078c2392e6a2","resolution":{"observed_at":"2026-08-03T16:35:14.417643Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.529298Z","title":"Comprehensive modeling and identification of nonlinear joint dynamics for collaborative industrial robot manipulators,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.529298Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:c85d832a1449eba965a490851943194d2b2010e690aade997b1cf6b0db7a5ebc","observation_id":"78630b68-dd93-4f08-83c7-b705ac6f0b8d","resolution":{"observed_at":"2026-08-03T16:35:14.529298Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.681811Z","title":"Friction identification and compensation in robotic manipulators,","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.681811Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:9142d5c15f67d302e51affac93171eed44ea2bc7325f2720dbf7fdc52165c4bd","observation_id":"720a51f4-9c6a-4bd9-8915-6fe7b535b131","resolution":{"observed_at":"2026-08-03T16:35:14.681811Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.822066Z","title":"Adaptive control based friction estimation for tracking control of robot manipulators,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.822066Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:698ee523e3002320763c237dd8a52776d5dec24cfbdad0ad3f0a3760be68efd6","observation_id":"08a4774b-7309-4a9d-879a-dccec88111a4","resolution":{"observed_at":"2026-08-03T16:35:14.822066Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:14.952760Z","title":"Residual-based stiffness estimation in robots with flexible transmissions,","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:14.952760Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:aeaed88f2850e852ce38727e1bdbf434413e37e09240e14c690df914451443d0","observation_id":"ea242fa3-ee84-4422-a33d-edc8b1867f37","resolution":{"observed_at":"2026-08-03T16:35:14.952760Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.070534Z","title":"A black- box physics-informed estimator based on gaussian process regression for robot inverse dynamics identification,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.070534Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:63168d8aef774d12b3ea82a3394efbbe5a64ae1b8588bfaada1d16093e42e0cc","observation_id":"be619ec7-6a4b-4e2f-8330-aaca1d8f3631","resolution":{"observed_at":"2026-08-03T16:35:15.070534Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.196308Z","title":"Kernelized movement primitives,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.196308Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:e0dcdffe74882c814ecf575e943b251d11a465dead58e8cf0dab06291fb674d6","observation_id":"b54004fd-5b9c-418e-a3bd-0771ecad8a67","resolution":{"observed_at":"2026-08-03T16:35:15.196308Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.380406Z","title":"Recursive noise adaptive kalman filtering by variational bayesian approximations,","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.380406Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:abd55cd90bc48b29a134d563ae838534286d9e070ebb8ad76d3904466c426911","observation_id":"fde8a2ea-2019-4c4a-b681-2a7987142e47","resolution":{"observed_at":"2026-08-03T16:35:15.380406Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.558074Z","title":"Sensorless robot collision detection and hybrid force/motion control,","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.558074Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:485e24f3a20b8711f09bf7a43568a74ef5b92d008114a77438b323c2d0b66c58","observation_id":"08ea96f6-4755-4afe-b692-896cb5fad318","resolution":{"observed_at":"2026-08-03T16:35:15.558074Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.723406Z","title":"Collision detection and safe reaction with the dlr-iii lightweight manipulator arm,","venue":null,"work_id":null,"year":2006},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.723406Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:e266ffd303e68cbb26fc844d3cd4743084ad7a1b312c8e9d60e8dd4bdc389019","observation_id":"67948273-e61b-4a47-9b94-46e3b454643f","resolution":{"observed_at":"2026-08-03T16:35:15.723406Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.838729Z","title":"Review and comparison of dry friction force models,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.838729Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:4189184f6ae8a5bd0dd86293074673ee3a024258b2bb6a8bb0e0d93be2c63e0a","observation_id":"9250ee66-311d-42eb-a9c1-308ec83f7353","resolution":{"observed_at":"2026-08-03T16:35:15.838729Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:15.931793Z","title":"Revisiting the lugre friction model,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:15.931793Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:8cb52e7094af03e48170e75ff1d961de2365bd697fa21d0ec1a4b462198d2425","observation_id":"bd8fed16-9ec1-4f83-861b-4ba19243bdd4","resolution":{"observed_at":"2026-08-03T16:35:15.931793Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.15756","last_updated":"2024-12-20T10:16:18Z","snapshot_observed_at":"2026-08-14T10:00:07.328967Z","submitted_at":"2024-12-20T10:16:18Z","title":"Probabilistic Latent Variable Modeling for Dynamic Friction Identification and Estimation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.15756","snapshot_observed_at":"2026-08-03T16:35:16.032318Z","title":"Probabilistic latent variable modeling for dynamic friction identification and estimation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.032318Z"},"links":{"cited_paper":"/paper/2412.15756","citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:be760d1e1dcbd970d47010662bdc09676e82e07b17166308c4d567fa6e0e2568","observation_id":"315aa688-756f-42f8-af27-4f0309183358","resolution":{"observed_at":"2026-08-03T16:35:16.032318Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.090312Z","title":"Learning-based adaption of robotic friction models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.090312Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:18c2204fccc025475b7adae5dcd6cb0ba7ac527439e5f6c10312dda31fde8af6","observation_id":"429ba4ed-0832-4edb-bd06-b54b10230f4b","resolution":{"observed_at":"2026-08-03T16:35:16.090312Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.189274Z","title":"Modeling the static friction in a robot joint by genetically optimized bp neural network,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.189274Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:299b5ba6a1394b5fa9e487ff37851fa8cb6c992cb589ab0227a77538bc02733d","observation_id":"a939107e-1d67-430e-b11b-a8471a6da2d4","resolution":{"observed_at":"2026-08-03T16:35:16.189274Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.243264Z","title":"Neural-learning-based force sensorless admittance control for robots with input deadzone,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.243264Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:1ff3618c70373f1be985f0d01f326d191c418b4be8553a79a07fbda18644c77f","observation_id":"31c469cd-5a4a-4e1e-ac20-6fb7bf0e12bb","resolution":{"observed_at":"2026-08-03T16:35:16.243264Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.301727Z","title":"Contact force estimation for robot manipulator using semiparametric model and disturbance kalman filter,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.301727Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:dbee571abd2a81394bda5249695f3929e8338618980aaabba923c93517d04757","observation_id":"d9bb201a-3ed5-48dd-9e25-5ee393d71a01","resolution":{"observed_at":"2026-08-03T16:35:16.301727Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.368397Z","title":"Semi-parametric gaussian process for robot system identification,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.368397Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:3c215a60fb730380da1a1f17ac603c790aff994189e74e2f779974a5508d1ad7","observation_id":"ec6cec1b-57c1-47c7-9027-48a845a24c7d","resolution":{"observed_at":"2026-08-03T16:35:16.368397Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.433840Z","title":"Contact force estimation of robot manipulators with imperfect dynamic model: on gaussian process adaptive disturbance kalman filter,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.433840Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:4d21d7821ff39f8e0ca93041688d38cbaa922165bc09507ad98cc53e2f9e54ae","observation_id":"e665a63b-c834-4df7-bcfa-c6eee8d018c4","resolution":{"observed_at":"2026-08-03T16:35:16.433840Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.482551Z","title":"Uncertainty-aware imitation learning using kernelized movement prim- itives,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.482551Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:f7e070461519fd0c070d778f88a8e129cbc99c3f6c51ed860e47112e1dc52698","observation_id":"8a69736f-f404-4bb9-ab9b-4b8044dcd115","resolution":{"observed_at":"2026-08-03T16:35:16.482551Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.24035","last_updated":"2026-07-28T15:42:52Z","snapshot_observed_at":"2026-08-12T22:10:52.413510Z","submitted_at":"2024-10-31T15:32:32Z","title":"A context-adaptive policy framework for robust and reactive robotic manipulation via uncertainty-aware imitation learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.24035","snapshot_observed_at":"2026-08-03T16:35:16.564104Z","title":"State-and context-dependent robotic manipulation and grasping via uncertainty-aware imitation learning,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.564104Z"},"links":{"cited_paper":"/paper/2410.24035","citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:8c5d6056e7d37797597ad2ba457ed4ff6f4e04a89c6b69fb68a76ec5aaa0aefb","observation_id":"21e38726-6e89-4c25-9a6d-5b3cd89a0480","resolution":{"observed_at":"2026-08-03T16:35:16.564104Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.635870Z","title":"Hierarchical kernelized movement prim- itives for learning human-robot collaborative trajectories in referred object handover,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.635870Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:f11b927eab9f04670e93db55a34996589470502ce0f58813d947990e9f84ef2d","observation_id":"3386b601-a214-483a-95ce-3b5146bf79fb","resolution":{"observed_at":"2026-08-03T16:35:16.635870Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.713506Z","title":"A kmp-based interactive learning approach for robot trajectory adaptation with obstacle avoid- ance,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.713506Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:152cbb3711f9fcb4c5e27b34b5fbc77ced637711a66fb851311a0ca5f89304cb","observation_id":"90bb5547-bee6-4824-8e0c-c730868c44fa","resolution":{"observed_at":"2026-08-03T16:35:16.713506Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:16.910097Z","title":"Adaptive sliding mode disturbance observer-based composite control with prescribed performance of space manipulators for target capturing,","venue":null,"work_id":null,"year":1973},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:16.910097Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:1b01796cc47efcbf40f61a79a21ce87263df2bbc8dfdc857b82aaa58c7ffaf02","observation_id":"ec5448cf-ec73-4073-96a2-643f5b20ef26","resolution":{"observed_at":"2026-08-03T16:35:16.910097Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.050612Z","title":"A nonlinear disturbance observer for robotic manipulators,","venue":null,"work_id":null,"year":2000},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.050612Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:085dc3529bccbb0b0f830d7ded77a0d342214bc07f23be5fd81ceb4f37ef3998","observation_id":"0422e54b-d7e5-4200-8b15-45b3e3111d68","resolution":{"observed_at":"2026-08-03T16:35:17.050612Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.142730Z","title":"Collision detection, isolation and identification for humanoids,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.142730Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:c0fa4d3e3501b956a42cae88bb1496f56ca5e303ef5f7f3ef8dc7b16c8b0fcda","observation_id":"40deeb44-0ac8-416d-bf4f-cf2e423de67b","resolution":{"observed_at":"2026-08-03T16:35:17.142730Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.294792Z","title":"6d virtual sensor for wrench estimation in robotized interaction tasks exploiting extended kalman filter,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.294792Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:36bd46b38181d2a49a4e732bdef60ca95e940170f3e326d8e81caa5946341a41","observation_id":"c3b4d996-a02e-4725-8208-c1df9608d43f","resolution":{"observed_at":"2026-08-03T16:35:17.294792Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.459332Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.459332Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:a6833ea5b82cb5cbfc9f2bab909a80acd0cdd5a25b7ff3d4a7abfeee0761cd6b","observation_id":"86aa7613-9d84-486e-9ca5-44600be419ff","resolution":{"observed_at":"2026-08-03T16:35:17.459332Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.595848Z","title":"Robot collisions: A survey on detection, isolation, and identification,","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.595848Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:7aa555417c5ad69ede17f66ae34da2416d1a44a5a47d0ad7fffbc8d354cfa198","observation_id":"e5851fa6-3836-449a-ac85-ba4eea7b9246","resolution":{"observed_at":"2026-08-03T16:35:17.595848Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.722030Z","title":"Actuator failure detection and isolation using generalized momenta,","venue":null,"work_id":null,"year":2003},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.722030Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:7483642b1f58dffe001366205eeb44b578d6631245a0a074827f93170a5103be","observation_id":"2e3a5802-ee49-46d5-9dfc-7aac8f057ae0","resolution":{"observed_at":"2026-08-03T16:35:17.722030Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.828827Z","title":"A review on kalman filter models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.828827Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:53f4179e931dab9edc66f97e6f69cec95825eb93ca81f3e9c51535d10bb38a1d","observation_id":"0a8e8fd5-bd92-4649-9c45-c1aa92a6be2b","resolution":{"observed_at":"2026-08-03T16:35:17.828827Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:17.977220Z","title":"Adaptive kalman filtering,","venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:17.977220Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:7ff4fedc2fff846d6e4f23b930b908be25a76a09007a02fa6242623db2c7d104","observation_id":"ccaff607-ef3e-41a2-8477-2869abb77868","resolution":{"observed_at":"2026-08-03T16:35:17.977220Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.092025Z","title":"Adaptive kalman filtering for ins/gps,","venue":null,"work_id":null,"year":1999},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.092025Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:ff27cb0719fdd8a84600c42f1c9c9806a18e72cf9ee12e3ee75cddc0c000d1ed","observation_id":"006363a5-6d32-4481-8b8f-a83d31381874","resolution":{"observed_at":"2026-08-03T16:35:18.092025Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.219936Z","title":"Dynamic identification of industrial robot based on nonlinear friction model and ls-sos algorithm,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.219936Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:bdcf3046bd8c4037246cd69574260fa57f58b2110c28e15bff3a49db57b99b9e","observation_id":"7ed34bd0-beb1-46b7-8b20-4c1256b50a0e","resolution":{"observed_at":"2026-08-03T16:35:18.219936Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.268694Z","title":"O’Hagan and J","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.268694Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:c6c78e47818958f452f8534079a7843953ee8f5095641b75baf5c4bcbf924478","observation_id":"448c6680-80fb-4318-9884-d8d4160124c3","resolution":{"observed_at":"2026-08-03T16:35:18.268694Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.325048Z","title":"Bayesian approach to extended object and cluster tracking using random matrices,","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.325048Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:5e6f6ecf88201ddc9b4826958254aedf508f59346d7d64de20314f929256f2df","observation_id":"f6c4cf6b-e95e-4ea4-87fa-c41a77469d25","resolution":{"observed_at":"2026-08-03T16:35:18.325048Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2212.11215","last_updated":"2022-12-21T17:42:33Z","snapshot_observed_at":"2026-08-13T13:17:05.874156Z","submitted_at":"2022-12-21T17:42:33Z","title":"A C++ Implementation of a Cartesian Impedance Controller for Robotic Manipulators","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2212.11215","snapshot_observed_at":"2026-08-03T16:35:18.377106Z","title":"A c++ implementation of a carte- sian impedance controller for robotic manipulators,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.377106Z"},"links":{"cited_paper":"/paper/2212.11215","citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:7ce8a606c4aaf4ea3b5196d820f02f69a1ff421e7a0d3d2d006d5e711e606350","observation_id":"adb24a64-edd3-4a02-b9ec-ad4a84d60a2a","resolution":{"observed_at":"2026-08-03T16:35:18.377106Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.480836Z","title":"End-effector force estimation for flexible-joint robots with global friction approximation using neural networks,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.480836Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:ae64b0d9ef53a4a5fcd0aba6921740aebfa3722d9e84640e4ed81e5d0ad6ada9","observation_id":"613a8d5e-8510-4c91-baf5-af4cc3e06840","resolution":{"observed_at":"2026-08-03T16:35:18.480836Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.553139Z","title":"A survey of feature selection methods for gaussian mixture models and hidden markov models,","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.553139Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:aac2c0b44ece10949de5b1771d1f2cee80a7f81110ef65d9ceefc279042aeba9","observation_id":"ee06ecd2-5947-4c69-badb-c256e023c12c","resolution":{"observed_at":"2026-08-03T16:35:18.553139Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-03T16:35:18.669409Z","title":"Bayesian sparse gaussian mixture model for clustering in high dimensions,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots","version":2},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-03T16:35:18.669409Z"},"links":{"citing_paper":"/paper/2512.13009"},"observation_digest":"sha256:f2f7bfef973d3b5bbd550fb77c110725ace62c1ae20f97fafe969a1ad05673c8","observation_id":"5f743480-f4ba-4819-9704-bbd7783571ec","resolution":{"observed_at":"2026-08-03T16:35:18.669409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2512.13009","last_updated":"2026-06-16T08:41:58Z","latest_version":2,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-03T16:35:01.631175Z","submitted_at":"2025-12-15T06:11:14Z","title":"K-VARK: Kernelized Variance-Aware Residual Kalman Filter for Sensorless Force Estimation in Collaborative Robots"},"reference_resolution":{"displayed":45,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":45,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":45},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2512.13009."}