{"as_of":"2026-08-14T08:32:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:89bdb0134fe6bc4dd2c40d96715f12f79ccc06be0d5aa54486aa9408fc0a3c72","coverage":[{"denominator":16,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":16,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T17:51:18.317570Z","state":"measured"},{"denominator":16,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":16,"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/2411.12255/citation-record","integrity":"/paper/2411.12255/integrity","json":"/paper/2411.12255/citation-record.json","paper":"/paper/2411.12255"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.519391Z","title":"Viola: Imitation learning for vision-based manipulation with object proposal priors,","venue":null,"work_id":"d13bc237-1632-4b62-9458-427d75dc8cce","year":null},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.258134Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:f1c5ab515e496dcd4d3fc29dd7b7ed85949daa05689f133b50c5c2877e8e466b","observation_id":"26059ece-8124-4412-8903-577ae3213379","resolution":{"observed_at":"2026-08-12T17:51:18.523220Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.02117","last_updated":"2024-01-04T07:55:53Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-01-04T07:55:53Z","title":"Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.02117","snapshot_observed_at":"2026-08-12T17:51:18.266259Z","title":"Mobile aloha: Learning bimanual mobile manipulation with low-cost whole-body teleoperation,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.266259Z"},"links":{"cited_paper":"/paper/2401.02117","citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:1837331c8446c967c03a43f553dabf5fd8608794153ffdfbf110bbcab8a660be","observation_id":"5cf1a5a4-b8f4-475f-a367-0159a4308014","resolution":{"observed_at":"2026-08-12T17:51:18.266259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.13705","last_updated":"2023-04-23T19:10:53Z","snapshot_observed_at":"2026-08-03T01:22:01.078078Z","submitted_at":"2023-04-23T19:10:53Z","title":"Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.13705","snapshot_observed_at":"2026-08-12T17:51:18.270475Z","title":"Learning fine-grained bimanual manipulation with low-cost hardware,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.270475Z"},"links":{"cited_paper":"/paper/2304.13705","citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:b6fa8280a732d7360d746640fa68c967fb5c0c52dcf420e58c1a29b535b58910","observation_id":"7587f2d2-2dda-44c9-9ad1-ecae5038ecac","resolution":{"observed_at":"2026-08-12T17:51:18.270475Z","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":"2026-08-12T17:51:18.496888Z","title":"Imitation learning for nonprehen- sile manipulation through self-supervised learning considering motion speed,","venue":null,"work_id":"1b16ace8-f515-4d15-bf77-2f6bc4de0811","year":2022},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.275070Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:836f6bd159aeaf06ee86f86e0768dd30e0f03ccc716e95b06403ae17a2e52c23","observation_id":"25e9a5ce-5b79-4ad6-a459-8a0e569d44ad","resolution":{"observed_at":"2026-08-12T17:51:18.501043Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.278982Z","title":"Autoregressive model considering low frequency errors in command for bilateral control-based imitation learn- ing,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.278982Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:5218b1be4b3954da9d3bd9db9072ebd83bb6807f94b98a5e0c68a615f80b229b","observation_id":"0f16989e-9be2-4cb3-9ec0-2d5bba50fe0e","resolution":{"observed_at":"2026-08-12T17:51:18.278982Z","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":"2026-08-12T17:51:18.478401Z","title":"Soft and rigid object grasping with cross-structure hand using bilateral control-based imitation learning,","venue":null,"work_id":"ce3c8e20-e5cb-478e-b65c-f5073f007e95","year":2024},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.282793Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:92b250283ac113db333f3c1e1a377e0341bb43915421dea862d4d04537848d87","observation_id":"b0177532-dfae-429e-a480-c0218958759f","resolution":{"observed_at":"2026-08-12T17:51:18.482455Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.17698","last_updated":"2024-01-31T09:38:09Z","snapshot_observed_at":"2026-08-13T04:30:23.388144Z","submitted_at":"2024-01-31T09:38:09Z","title":"Bi-ACT: Bilateral Control-Based Imitation Learning via Action Chunking with Transformer","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.17698","snapshot_observed_at":"2026-08-12T17:51:18.286886Z","title":"Bi-act: Bilateral control-based imitation learning via action chunking with transformer,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.286886Z"},"links":{"cited_paper":"/paper/2401.17698","citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:a94588b70a58893d83fd4375253ab34353a983be1b60457ca77279b78854bae9","observation_id":"94937fcb-b8a8-47a5-8e19-3099c4fbb320","resolution":{"observed_at":"2026-08-12T17:51:18.286886Z","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":"2026-08-12T17:51:18.466895Z","title":"An independently learnable hierar- chical model for bilateral control-based imitation learning applications,","venue":null,"work_id":"9274cfd5-7cc3-4b80-8c0d-f3508735d6ac","year":2022},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.290870Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:692496f47b20909827849699fa23dc93582dcf357de35c8898aeb9f60bf82607","observation_id":"f68c0859-3f4a-49b2-9b0c-4d500e07f908","resolution":{"observed_at":"2026-08-12T17:51:18.470965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.455766Z","title":"Embed to control: A locally linear latent dynamics model for control from raw images,","venue":null,"work_id":"bee396db-bfd0-4f51-921f-ad454d0a9ee8","year":2015},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.294729Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:73b08245f7118cc139e355e898426b615a7278d530a0505bb9120b2af4c4bf01","observation_id":"210fe845-c52b-49aa-85f0-e908059b744b","resolution":{"observed_at":"2026-08-12T17:51:18.459610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.444146Z","title":"Recurrent world models facilitate policy evolution,","venue":null,"work_id":"1d490bb3-042c-43ca-b8aa-4368bf90dee5","year":2018},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.298282Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:2c836958d00e2cd71ddd6af2ba68aa400f593dc3e2d2276ffc44c104b2ca214c","observation_id":"e0fd2715-dce1-45b1-a0a1-b2e27b5e376f","resolution":{"observed_at":"2026-08-12T17:51:18.448332Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.431621Z","title":"Newtonianvae: Proportional control and goal identification from pixels via physical latent spaces,","venue":null,"work_id":"1c9d4387-078f-4dd1-a173-08c63f215eb4","year":2021},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.302042Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:d9ea593f09dd569f6d497b3bb5b8df797bc7014f082ce072caf525392211be2f","observation_id":"d5cc9921-9557-4338-8079-d0e07366c3e1","resolution":{"observed_at":"2026-08-12T17:51:18.436044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.419554Z","title":"Modality attention for prediction-based robot motion generation: Improving inter- pretability and robustness of using multi-modality,","venue":null,"work_id":"7097f5e8-d8af-4440-a36a-fde0c66921bb","year":2023},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.306288Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:69cc7480cfa882bd55b909060b8ea53d31df5b36424d010b1d02c06cf30be107","observation_id":"dd9da0a2-cca7-4d1d-ac14-ec48c6172a3a","resolution":{"observed_at":"2026-08-12T17:51:18.423872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.402682Z","title":"Torque sensorless control in multidegree-of-freedom manipulator,","venue":null,"work_id":"39e3a109-7386-4030-adbc-a480dc831fa0","year":1993},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.309929Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:2d264e02e12547e86b7b79626e2ebf5e8b8166928689fec8f0ed52e7ec6c87c4","observation_id":"694a2b6d-b0fe-49de-9f19-80ced28c6b88","resolution":{"observed_at":"2026-08-12T17:51:18.406779Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.390300Z","title":"From virtual demonstration to real-world manipulation using lstm and mdn,","venue":null,"work_id":"f8dec2cc-7d81-4fd0-9a82-dc1ec64045ff","year":2018},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.313413Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:08fed787854be8d982135343db3d295e58fda83852fa4c7481f59e0210ec2180","observation_id":"ba7a8783-a862-47f2-a1a0-70b78160f906","resolution":{"observed_at":"2026-08-12T17:51:18.394302Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.376431Z","title":"Semi-supervised learning with deep generative models,","venue":null,"work_id":"173b8beb-9828-4aa3-8a60-bdace330ee77","year":2014},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.317570Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:18fc9d7000b0bd5eb67799e82f317941843d54b849e97233c60a0ad91e74cbca","observation_id":"1396ed42-660b-43b1-919e-2abc1ec9c0b8","resolution":{"observed_at":"2026-08-12T17:51:18.382356Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-12T17:51:18.508548Z","title":"1199–1210","venue":null,"work_id":"c36e3a0d-7161-4f1d-9e4d-19ee10ffb1de","year":2023},"citing_paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning","version":1},"reference_index":205,"source":"pdf_text","source_observed_at":"2026-08-12T17:51:18.262470Z"},"links":{"citing_paper":"/paper/2411.12255"},"observation_digest":"sha256:0c8f8eac561385a088eac30f48911ae226244ec91faee11c41a5bcfce32b4c8b","observation_id":"f5f69bad-26cd-43a7-9859-377f14ee3e2b","resolution":{"observed_at":"2026-08-12T17:51:18.512122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"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"}],"state":"measured"}}],"paper":{"arxiv_id":"2411.12255","last_updated":"2024-11-19T06:09:09Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-13T10:47:26.906998Z","submitted_at":"2024-11-19T06:09:09Z","title":"Error-Feedback Model for Output Correction in Bilateral Control-Based Imitation Learning"},"reference_resolution":{"displayed":16,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":16},"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 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2411.12255."}