{"as_of":"2026-08-16T11:06:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:07da4f17d2a58780b0b1d293a76bbaf6350d5fa088f5ff2df333ef32f306e908","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:26:33.787523Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+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/1908.07273/citation-record","integrity":"/paper/1908.07273/integrity","json":"/paper/1908.07273/citation-record.json","paper":"/paper/1908.07273"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:26:34.297493Z","title":"Robot metrology and calibration systems - a market review,","venue":null,"work_id":"659d1d44-b530-46ac-98a0-e0f4988d8c6b","year":1998},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.645974Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:ec60ec60e429d649fc2fb65325667e532bd08612cf5e162260ba90dcd820708a","observation_id":"60067acc-d6d3-4a51-8d5b-6edcffbc8533","resolution":{"observed_at":"2026-08-14T12:26:34.302106Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.276211Z","title":"2015: By far the highest volume ever recorded,","venue":null,"work_id":"b9ae21cd-d685-45d3-adef-0c2178160bd9","year":2015},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.651077Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:b04427b13e53329464131bc34f0c1e176a76f19fc2ee5c245f71305413ecc0a3","observation_id":"0d288bc3-7e3d-4126-a1e4-aee718d701e2","resolution":{"observed_at":"2026-08-14T12:26:34.283497Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.232484Z","title":"Recent progress on programming methods for industrial robots,","venue":null,"work_id":"b1a8a4d8-7f26-454f-9913-c074b9a39640","year":2012},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.659445Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:b6021ee4bc0fcd0bee1fa8ac86f853813993b40623e5a24869e968922cc2ebf3","observation_id":"f148e465-ec15-4707-b3bd-f73af3444b1e","resolution":{"observed_at":"2026-08-14T12:26:34.237003Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.219518Z","title":"Comparative peg- in-hole testing of a force-based manipulation controlled robotic hand,","venue":null,"work_id":"d02478f1-0ccf-48ca-9ab4-e7a30e758dca","year":null},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.663764Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:3fefeedd74bebf4cbac4a050fe44b392e9b1404617bae2345ee048eeb6b7f393","observation_id":"f1b297a2-86ee-4045-b5d8-85d9dbcbcf5c","resolution":{"observed_at":"2026-08-14T12:26:34.224059Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.203584Z","title":"Addressing perception uncertainty induced failure modes in robotic bin-picking,","venue":null,"work_id":"f598a8fd-fda9-487c-8c17-b966096a6dcd","year":2016},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.669079Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:5b7ac3a9e6645b7a3b33b3c1e76355ccc231b02c20fc5aa5a930b79e20e81ef9","observation_id":"a8d5013b-736e-4572-a158-a322d72d8ebe","resolution":{"observed_at":"2026-08-14T12:26:34.208543Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.183406Z","title":"Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards,","venue":null,"work_id":"978b2132-e090-4785-aa87-dc89a757fdca","year":2016},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.674868Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:a524accc5cbb5c2461feaf8f93851d85942de716d72ac8b6a702aad688e3681c","observation_id":"d91fa0dd-3a23-4a20-91ae-2c1f4c6ac0ef","resolution":{"observed_at":"2026-08-14T12:26:34.191200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.165584Z","title":"Kinematic noise propagation and grasp quality evaluation,","venue":null,"work_id":"421c3781-eabe-4a4c-afcb-b71f1579b7b5","year":2016},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.681686Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:086c9f86c3a8f4821399ebf2186c73106641d1711443831069ba98b477a8a93e","observation_id":"d4bdc4fd-c2fb-4084-9d99-d53c0d464cfb","resolution":{"observed_at":"2026-08-14T12:26:34.171535Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.148611Z","title":"A technique to calibrate industrial robots with experimental verification,","venue":null,"work_id":"53053d96-f51d-4f9b-bdac-da40a69f25e2","year":1990},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.688851Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:8711cc14131add9d0487426a66738d7ccfee2d144a22f7c4da5d9b4258b131d9","observation_id":"e0b9970f-9905-4dc0-aabb-0626375b20cc","resolution":{"observed_at":"2026-08-14T12:26:34.154474Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.130995Z","title":"Robot calibration issues: accuracy, repeatability and calibration,","venue":null,"work_id":"2724ff05-df45-465e-8de7-19c1fcba85d4","year":2000},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.695096Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:38924b8ea5f5b56797e36825cf34c29a11e593833a3e9bd9657423822e8792a3","observation_id":"420b1dc8-7f16-4ba1-b656-b6e88510e1e3","resolution":{"observed_at":"2026-08-14T12:26:34.135563Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":"10.1155/2014/769343","metadata_source":"doi_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:26:33.829484Z","title":"Developing an efficient calibration system for joint offset of industrial robots,","venue":null,"work_id":"f25fa5a2-4000-4a0c-885c-a3a83476cf8b","year":2014},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.700515Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:5a0b9f51801baa3a37c9a8dc49c202f9a4d8df8d53af2bf314b6577f27840904","observation_id":"ac71330b-2801-4623-8d81-9c4a56ceb371","resolution":{"observed_at":"2026-08-14T12:26:33.840002Z","resolver_source":"doi","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.111012Z","title":"A geometrical approach for online error compensation of industrial manipulators,","venue":null,"work_id":"1b7d351b-7485-4ed4-a133-c8983984fcb1","year":2010},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.706656Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:e68f0a64a5261f0658d0ef54dce673ce93b2fd779623d3793d72a8721cf24c8a","observation_id":"109fbea4-0413-4213-8231-92544a1f08d1","resolution":{"observed_at":"2026-08-14T12:26:34.117865Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.091625Z","title":"Calibration of industrial robots with product- of-exponential (poe) model and adaptive neural networks,","venue":null,"work_id":"ab5acf55-0838-4e68-8ef1-91fd24433d8b","year":2015},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.715009Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:9a85f2bb563ba9a08bbe6c257a20364c315519c7b96976d69485de1b9f661d76","observation_id":"b65739e4-fe36-4bf2-9941-7ab5659c0a52","resolution":{"observed_at":"2026-08-14T12:26:34.097561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.074791Z","title":"Zero-offset calibration using a screw theory,","venue":null,"work_id":"3f9a0541-2a4e-44d5-94a9-d4653a9df6f7","year":2016},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.721854Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:6a6a1f1b673ba0d19ec6ff6d691d0fc70a9a983dd353733f401dedc80118205d","observation_id":"82d2544f-9254-4f5b-91f5-af56bae073e4","resolution":{"observed_at":"2026-08-14T12:26:34.080409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.055847Z","title":"A new kind of accurate calibration method for robotic kinematic parameters based on extended kalman and particle filter algorithm,","venue":null,"work_id":"9f7782b0-902d-4c1a-9fa9-8068c3a6b371","year":2017},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.727656Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:28ffc0ed84e8e9604633884d6c32e4417200baa43a32b6f66b87139cc1d106f3","observation_id":"f05f58c1-1f6f-4231-b145-7d5de4fe3517","resolution":{"observed_at":"2026-08-14T12:26:34.062864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.030541Z","title":"Practical industrial robot zero offset calibration,","venue":null,"work_id":"085c8634-e0f8-465b-b582-dfdab7f08536","year":2008},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.731957Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:36f4e120aa64c606233ee345ea7185686b14c4033d07cbc35f37b519475db673","observation_id":"35b276dc-7935-47f7-baaf-c7175f32b499","resolution":{"observed_at":"2026-08-14T12:26:34.037935Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.000496Z","title":"Development and sensitivity analysis of a portable calibration system for joint offset of industrial robot,","venue":null,"work_id":"6808e037-d76f-4ccc-8b6b-2db19f3d44af","year":2009},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.737115Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:0411839829233f917aba2236f9ac8e5c9991beca8a912f35b1c916a6f42bd6d7","observation_id":"379e50ec-68f4-4e95-831b-f41d5cbf3732","resolution":{"observed_at":"2026-08-14T12:26:34.006230Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.982895Z","title":"An automated method to calibrate industrial robot joint offset using virtual line-based single-point constraint approach,","venue":null,"work_id":"c20fa561-d3fa-4d2a-b82e-633206efdf62","year":2009},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.744257Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:db945d6f9450413da8d253cd5f0bf1daa5c2588dde051470f6f194dbb2256baa","observation_id":"20e14f02-250b-41ca-8f2f-7d53ea517ce6","resolution":{"observed_at":"2026-08-14T12:26:33.988614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.969102Z","title":"An automated method to calibrate industrial robot kinematic parameters using spherical surface constraint approach,","venue":null,"work_id":"855c0d45-9018-469f-bfcd-79f2bcdcfa4e","year":2014},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.748805Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:aee3363771b1c6cc63141e86e99547480564af17f9fd5cedf5d6d1325d9b0cff","observation_id":"4caa133e-25f6-4fcc-a905-43a3b6390da5","resolution":{"observed_at":"2026-08-14T12:26:33.973701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.954723Z","title":"Nistir 8093: Tools for collaborative robots within sme workcells,","venue":null,"work_id":"4f857965-81b9-4f7a-8f53-3d0b9cad48b9","year":2015},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.755390Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:09a469723dbf6eafdf531c11550b08d9c6396f14a52c4f925c223ca85934d0f8","observation_id":"b459cd66-7189-4466-a81c-4d24102178c5","resolution":{"observed_at":"2026-08-14T12:26:33.959315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.939304Z","title":"Simplified framework for robot coordinate registration for manufacturing applications,","venue":null,"work_id":"7672c8ef-d716-41c8-bdc2-ae2f720d5a23","year":2016},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.759572Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:382c5d34cc6ef7481aeedd767407a593164cb9d6531f110ad4652a4d5f28b501","observation_id":"277ba91a-bead-44a0-8cdd-f27ad765fcb4","resolution":{"observed_at":"2026-08-14T12:26:33.944795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.922714Z","title":null,"venue":null,"work_id":"7771698c-ace2-47e3-acee-99d232521d76","year":2006},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.765109Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:ce721d863564e1eedbd7a4f61e738acfae60834016a78db12bb5137ff6a635af","observation_id":"2f3efced-dcfd-433a-a4d0-94057cc3bab5","resolution":{"observed_at":"2026-08-14T12:26:33.927955Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.770096Z","title":"Monte carlo sampling methods using markov chains and their applications,","venue":null,"work_id":null,"year":1970},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.770096Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:28e9a8d7402cc668b36afb4e21057f65e92f9a5b89976af4c44f7e020c83a9f5","observation_id":"b7af74cf-aa1a-469a-b029-d224983413cb","resolution":{"observed_at":"2026-08-14T12:26:33.770096Z","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":"2026-08-14T12:26:33.897424Z","title":"Strategies for improving and evaluat- ing robot registration performance,","venue":null,"work_id":"126bfcf3-3d45-4109-a712-d1f567bf67d9","year":2017},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.774926Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:b448da9d57192c15d4d85ceacefdbb4c0d7b38070e3e5df65e55d6027d9476eb","observation_id":"61e81511-dcd8-4763-b053-d041f8577ca9","resolution":{"observed_at":"2026-08-14T12:26:33.903034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.878245Z","title":"Prior distributions for variance parameters in hierar- chical models,","venue":null,"work_id":"5c928537-77ec-41f3-bf22-081e1abfc9cd","year":2006},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.781025Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:1ed331f3bacd74388ef2cce496709e83a74c425742003911ca557ab84ea8ee37","observation_id":"387cb4c2-382a-47c4-a5e3-ef80d83dec6b","resolution":{"observed_at":"2026-08-14T12:26:33.885264Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:33.859036Z","title":"The selection of prior distributions by formal rules,","venue":null,"work_id":"e70cdc16-a6a7-4b57-8ebb-4e72905837c8","year":1996},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.787523Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:7faca62bf88581ee284c31b62e21dd202ac38012ae81c778a12966b4c89b1e62","observation_id":"64bdbd54-c0f6-41cb-8670-e41b9e5e611a","resolution":{"observed_at":"2026-08-14T12:26:33.865545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:26:34.256193Z","title":"Available: http://www.ifr.org/industrial-robots/statistics/","venue":null,"work_id":"20c60163-7f06-4a98-a26b-07b049cf11c4","year":null},"citing_paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T12:26:33.655214Z"},"links":{"citing_paper":"/paper/1908.07273"},"observation_digest":"sha256:c89da6d58652a74809fe67b57525af655af1c7dcd6c21ff18fdfda5f35b67bd7","observation_id":"2203da0d-dfef-4e8f-96f9-e092ccb0e23e","resolution":{"observed_at":"2026-08-14T12:26:34.262407Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.07273","last_updated":"2019-08-20T11:13:14Z","latest_version":1,"primary_category":"cs.RO","snapshot_observed_at":"2026-08-16T08:17:43.822126Z","submitted_at":"2019-08-20T11:13:14Z","title":"Efficiently Improving and Quantifying Robot Accuracy In Situ"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":2,"verified_exact":1,"verified_fuzzy":23},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.07273."}