{"as_of":"2026-08-16T13:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dbdec83aa047c43ca2a99c199e0022867ffbe532b54e984519e327006e73ac26","coverage":[{"denominator":44,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":44,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:21:01.394167Z","state":"measured"},{"denominator":44,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":44,"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/1908.01367/citation-record","integrity":"/paper/1908.01367/integrity","json":"/paper/1908.01367/citation-record.json","paper":"/paper/1908.01367"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:02.056397Z","title":"Agrawal, J","venue":null,"work_id":"d478ed7a-7d3b-470c-83bc-f392a3714b55","year":2015},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.088629Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:c369d323e3938a5e44e47f7d4f3447c499ca558d51853db35d1046c70d9e2bcc","observation_id":"41a5765f-78d8-4ae6-9593-316d19685ddc","resolution":{"observed_at":"2026-08-14T15:21:02.061025Z","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":"2026-08-14T15:21:02.041305Z","title":"Andrew, R","venue":null,"work_id":"b3979c91-cdb7-4a8b-903d-6036d3cca37a","year":null},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.093796Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:a2085db14d27bcc87d97964292b0c0f0fc57ffc61bd861f2363b2d4a1a641961","observation_id":"d5b82a81-5650-4e08-92cf-bf55af588d13","resolution":{"observed_at":"2026-08-14T15:21:02.046549Z","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":"2026-08-14T15:21:02.026804Z","title":"Baker and I","venue":null,"work_id":"75806260-0363-4882-9e48-1b469cc86fed","year":2004},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.098455Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:ae33431d8b3d60913014d28ef979f504a3dd9e75080074314ae47718290ea861","observation_id":"bb9be365-7b5e-47ce-942c-022831028743","resolution":{"observed_at":"2026-08-14T15:21:02.031463Z","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":"2026-08-14T15:21:02.012081Z","title":"Belagiannis, C","venue":null,"work_id":"4525d5e3-c4ff-4e9b-b8f4-7209f4b37915","year":2015},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.103294Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:37aeccc62f957963ce4bf4636ffb7e655995005b910a67521de86f05c5ac9f3a","observation_id":"75d574af-9f01-4985-af6b-05d2e9c84474","resolution":{"observed_at":"2026-08-14T15:21:02.017129Z","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":{"arxiv_id":"1601.02213","last_updated":"2016-01-10T13:17:46Z","snapshot_observed_at":"2026-08-15T17:34:04.832785Z","submitted_at":"2016-01-10T13:17:46Z","title":"On Clustering Time Series Using Euclidean Distance and Pearson Correlation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1601.02213","snapshot_observed_at":"2026-08-14T15:21:01.107827Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.107827Z"},"links":{"cited_paper":"/paper/1601.02213","citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:c3471c2b7e226376782035c2691cf088e50570cc3858f3814cb827323e6a8fc8","observation_id":"5ebe1708-7fc7-4cec-bb39-3bfe581ca50c","resolution":{"observed_at":"2026-08-14T15:21:01.107827Z","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":"2026-08-14T15:21:01.996950Z","title":"Bloesch, J","venue":null,"work_id":"b12950c1-e2fc-4b4e-b7ac-695e6d36bb6c","year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.112742Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:9f72db86d629fa9e92ee4574e82ae8543aa9a2934cabebae10586a292663cddc","observation_id":"f3ac7a61-4f48-4605-92df-cd763912d49a","resolution":{"observed_at":"2026-08-14T15:21:02.001825Z","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":"2026-08-14T15:21:01.982117Z","title":null,"venue":null,"work_id":"c31eb6a1-56d8-4e2e-9b01-280b2c624c65","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.117367Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:ee5bd4b8f5575b897f3f2b4e96b875a92d1b0d5c9dd55195f6ebaafaae8b082b","observation_id":"040705be-18e7-4c95-a6c6-6895d99d175d","resolution":{"observed_at":"2026-08-14T15:21:01.986607Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.967405Z","title":"Chopra, R","venue":null,"work_id":"f90a4579-8240-4d02-8597-ead725b558d8","year":2005},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.122384Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:877b5b75e194e5e4d0822f94bc8b768643825b81045fbab3a388eeb9b9274758","observation_id":"9b425d81-b6c1-4b7f-b43f-9b3ae4f77a9f","resolution":{"observed_at":"2026-08-14T15:21:01.972091Z","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":"2026-08-14T15:21:01.954125Z","title":"Cordts, M","venue":null,"work_id":"48b8f294-0334-4d8f-aa53-2ade74d7a230","year":2016},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.126266Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:54e3f03d1c13b7d277fd76e0c8ac8cc4275a58f410fbf955e5ab181af9987061","observation_id":"d28268fc-b3a1-4720-9f00-fcdd0aff8ded","resolution":{"observed_at":"2026-08-14T15:21:01.958081Z","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":"2026-08-14T15:21:01.940601Z","title":"Eigen, C","venue":null,"work_id":"519135e0-fd71-47c0-a7bf-fea3e36cc9ba","year":2014},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.130215Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:92e52eac108d7eab7397779120839f88de20eb527bf1f6200e4cc81616d8d828","observation_id":"ac3dec58-d97f-4913-8507-edd9f055baf5","resolution":{"observed_at":"2026-08-14T15:21:01.945173Z","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":"2026-08-14T15:21:01.923944Z","title":"Engel, V","venue":null,"work_id":"6c2e6ada-36fb-4c7b-acdb-b62375ab749d","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.133878Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:ce6bfab136e21274ad350d938e5b623ad21e62a3e36605f6f3b50bac45d31676","observation_id":"243d8488-e417-44a7-87a8-841299a6d7f2","resolution":{"observed_at":"2026-08-14T15:21:01.929707Z","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":"2026-08-14T15:21:01.906809Z","title":"Engel, T","venue":null,"work_id":"2c35e3bc-4ef2-4836-a41f-3b3447928281","year":2014},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.138030Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:f3f63c419d321e90546ef4fceea5377837ecaf7efecf62121d47003b0fb55cb3","observation_id":"fad91324-5cee-495b-b4ac-37acb176d969","resolution":{"observed_at":"2026-08-14T15:21:01.912489Z","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":"2026-08-14T15:21:01.892127Z","title":"Geiger, P","venue":null,"work_id":"633756f9-1adb-441d-859c-fbcc0ec7815f","year":2012},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.141824Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:9f73c2aca8958a2c3ca6f09fc4a77fffcdc697c1fbb40ed62319f5f14a4318dc","observation_id":"13957e0c-6346-4376-9f95-504f35e7e0c4","resolution":{"observed_at":"2026-08-14T15:21:01.896861Z","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":"2026-08-14T15:21:01.877156Z","title":"Godard, O","venue":null,"work_id":"709099e0-2fbc-42b8-b384-a7d6856c1093","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.145587Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:dc6cf5d91095ef117ad15503602ac2ac3fbb47702ba68b46d6d12a5ddc248b5c","observation_id":"d9c2041e-3c5a-44f5-97f8-1650aef91d6d","resolution":{"observed_at":"2026-08-14T15:21:01.882157Z","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":"2026-08-14T15:21:01.862552Z","title":null,"venue":null,"work_id":"c74b0075-8f9a-4c52-bc27-c2d42bdfdd21","year":2015},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.149242Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:11be937b269ce54596a322c392d6ba1320b8c4a721df1a936d62a6fd644a6a1b","observation_id":"3d3a2124-bf14-4eda-b663-18712a783866","resolution":{"observed_at":"2026-08-14T15:21:01.866907Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.848350Z","title":null,"venue":null,"work_id":"15f226f1-cc7c-4393-b611-36584fc9a927","year":2014},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.153485Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:14e681f7f5c1c39181750d06761531f9fd855fe5871327013f12da83e27086e0","observation_id":"e74d5924-08f2-465f-b257-94942626a84d","resolution":{"observed_at":"2026-08-14T15:21:01.852828Z","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":"2026-08-14T15:21:01.157500Z","title":"Jaderberg, K","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.157500Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:3d24235c3dd1f19a4158307e0295c6d10fb6117cb31227304e142ed48ae9cbef","observation_id":"eeb69e30-93dd-4900-a7f1-4fa295effebd","resolution":{"observed_at":"2026-08-14T15:21:01.157500Z","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":"2026-08-14T15:21:01.823807Z","title":null,"venue":null,"work_id":"809e5653-a35a-48c7-a2cd-141675a3d40a","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.161938Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:2f635e3dc281ae7b65d02b6a3afcb7209efb015d6e733821004c0ac289cefb8e","observation_id":"1a72a3ec-e1b1-4761-86df-2834aeeea4ca","resolution":{"observed_at":"2026-08-14T15:21:01.827961Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.810661Z","title":null,"venue":null,"work_id":"824c02f4-e4fb-4082-be77-1bdce2c5b0d0","year":2014},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.166250Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:81c2a20cd96cc91ee51cc09819dcaeec123828f174c215bdb6b72158866116bd","observation_id":"2da9ac3b-7c5b-4d12-aba7-a0499ad1ebe5","resolution":{"observed_at":"2026-08-14T15:21:01.814668Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.795219Z","title":"Klodt and A","venue":null,"work_id":"3f5a7f8b-368f-4ae3-87e6-9a811029a19d","year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.170613Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:fd01867367c0cdb7e98bb60791f6db33c9cfd3d608f8dc0fefd274608d1221f0","observation_id":"79eacfaa-5723-40b3-ad94-d63a045ee465","resolution":{"observed_at":"2026-08-14T15:21:01.799734Z","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":{"arxiv_id":"1805.01556","last_updated":"2018-12-18T22:46:32Z","snapshot_observed_at":"2026-08-14T19:19:00.954742Z","submitted_at":"2018-05-03T22:05:57Z","title":"Pixel-wise Attentional Gating for Parsimonious Pixel Labeling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1805.01556","snapshot_observed_at":"2026-08-14T15:21:01.174911Z","title":"Kong and C","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.174911Z"},"links":{"cited_paper":"/paper/1805.01556","citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:7b37fbbc53856e6599f5e2ef9b9b054aa8968b56aba68c319291c6934455bd26","observation_id":"e01d97c5-ff5d-49c4-a2f3-af954bd75d8b","resolution":{"observed_at":"2026-08-14T15:21:01.174911Z","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":"2026-08-14T15:21:01.781185Z","title":null,"venue":null,"work_id":"eccab2c3-6224-4a43-9ecf-4f669129998b","year":2024},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.179484Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:4002ae25a7a69c3622478ade63863382a9eb67bed2841e1d167dc292b53d2ae5","observation_id":"534eeebc-f842-4d34-a34b-41718b2b9bb1","resolution":{"observed_at":"2026-08-14T15:21:01.785658Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.766424Z","title":null,"venue":null,"work_id":"d201ada8-e9a0-4090-990f-72c43b2d5302","year":2012},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.183971Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:53882897731ba3b1df5f511449fea24526a9acd513283c8af8a311b363e6a17d","observation_id":"d7a149bb-35c0-4eea-98b2-c677a95e508b","resolution":{"observed_at":"2026-08-14T15:21:01.771768Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.752338Z","title":null,"venue":null,"work_id":"bc23b2f9-6359-4388-9313-0a7864440478","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.188413Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:f028ffa9e33b32df83abd9bba87beb9e7ad8bff6f477939a87c92b7fa2ad37c3","observation_id":"f4c51e12-af47-4bcb-ba4c-a3d0b900d6d0","resolution":{"observed_at":"2026-08-14T15:21:01.756713Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.738459Z","title":"Mahjourian, M","venue":null,"work_id":"9be88333-7351-4930-8060-24da4be5755c","year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.192797Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:235df69428a41f060fd5e7bc70e8938c74db71a762c121b131a4d2c58c5d56e7","observation_id":"fe09db21-8fe1-4c5d-ae6b-1fe53b58948a","resolution":{"observed_at":"2026-08-14T15:21:01.742813Z","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":"2026-08-14T15:21:01.724053Z","title":"Mayer, E","venue":null,"work_id":"c367c08d-4e4a-4fd1-9504-695144eb2424","year":2016},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.197088Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:e1b82dbb32b446036280f322d55b4291e45de16cbff2b7942ef47e00f6db820e","observation_id":"b43167e2-1bf6-4ced-9a27-ba256c033835","resolution":{"observed_at":"2026-08-14T15:21:01.728683Z","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":"2026-08-14T15:21:01.709085Z","title":"Menze and A","venue":null,"work_id":"877b31bb-278b-4064-95d6-11cba1e24650","year":null},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.201298Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:4618e1e127b00057bad81f0316602d2e82a77944275accff5b240b62023d2ac6","observation_id":"58fff9ec-a2d0-4a98-afe5-6d1e1557b711","resolution":{"observed_at":"2026-08-14T15:21:01.713588Z","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":"2026-08-14T15:21:01.694736Z","title":"Mur-Artal and J","venue":null,"work_id":"a2e1e182-d6c2-4f1d-8a09-463fe07073cf","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.206508Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:fe3b3db0c9648953264c99af1f4caad972309960128176dca2ea27ad2ba3c2dd","observation_id":"72c9553f-0c10-46d8-b183-88c0c6559888","resolution":{"observed_at":"2026-08-14T15:21:01.698917Z","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":"2026-08-14T15:21:01.680621Z","title":"Paszke, S","venue":null,"work_id":"94a28c3b-8de4-4700-9ee1-a324d7ba5ee3","year":null},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.211103Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:08a37dc1c96faa756c340da0c8d73b0b169c6d84e6fe5febb468a83c6634a8d9","observation_id":"5ed3fbeb-bfa6-4814-bb05-d24192aaa8d5","resolution":{"observed_at":"2026-08-14T15:21:01.684751Z","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":"2026-08-14T15:21:01.665615Z","title":null,"venue":null,"work_id":"8ba18b2e-468a-400b-bb10-b1a8f7ddb114","year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.215970Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:a87985177cd1d6fb8f5da1694791ae690fe056e7034334d531d345d9a882cc7f","observation_id":"61a776b1-78c1-4864-8ae3-312aba293d62","resolution":{"observed_at":"2026-08-14T15:21:01.670469Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.650775Z","title":null,"venue":null,"work_id":"9550d0b5-383c-4af6-83e6-64106d021172","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.220589Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:ed5d1027f8afa5a2ae3d5be3e512c5cce9c6248bda9581fb5d06af832535ff7f","observation_id":"3db0e2be-578a-4f11-8000-2e81af2937c6","resolution":{"observed_at":"2026-08-14T15:21:01.655744Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.637015Z","title":"Szeliski","venue":null,"work_id":"a1556241-51df-4e89-8ab2-04a4ba8b2dcc","year":1999},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.224958Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:084b0eba191ef156ea38c02f8a87cd44fb418d572fbe72b403bbdff309bbaa57","observation_id":"2b89da32-110c-4b9d-b2f9-9c12736e7d2d","resolution":{"observed_at":"2026-08-14T15:21:01.641737Z","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":"2026-08-14T15:21:01.623600Z","title":"Tateno, F","venue":null,"work_id":"8b6625db-c8fd-40cb-a6cc-2d31891e150b","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.230180Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:47c0ad942e29e83d0845febb83742131d96363db1829ae0e8aa37be5e52da01a","observation_id":"39034ecc-e1c6-45ee-a648-dd8936cf7502","resolution":{"observed_at":"2026-08-14T15:21:01.627969Z","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":"2026-08-14T15:21:01.609490Z","title":"Ummenhofer, H","venue":null,"work_id":"f66f69c5-9830-41d5-8fce-792ffbc251d0","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.234471Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:fadb5dd7eb1d7d44cfd362633f8d6c4885f98156f578b5acc33e60a4556bf422","observation_id":"dab553a4-7c57-4bfa-b6c0-c9f01c76bc2e","resolution":{"observed_at":"2026-08-14T15:21:01.613890Z","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":{"arxiv_id":"1704.07804","last_updated":"2017-04-25T17:30:05Z","snapshot_observed_at":"2026-08-14T21:04:48.325320Z","submitted_at":"2017-04-25T17:30:05Z","title":"SfM-Net: Learning of Structure and Motion from Video","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1704.07804","snapshot_observed_at":"2026-08-14T15:21:01.238876Z","title":"Vijayanarasimhan, S","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.238876Z"},"links":{"cited_paper":"/paper/1704.07804","citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:48c14d9d23de621fe1dbfc2376ee2c07ccce6b16b8fa98a931fb8f4b09abb10b","observation_id":"34136fd9-73e4-4830-bb89-3d2c495adc08","resolution":{"observed_at":"2026-08-14T15:21:01.238876Z","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":"2026-08-14T15:21:01.595282Z","title":null,"venue":null,"work_id":"08a4065f-32e6-496e-8c28-542e5842de7f","year":2022},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.357148Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:d9254d5e0c131e2d8cc1935b80454ae4eaa1071ed45e342f62095aacb1f77a24","observation_id":"e92ed451-2115-4e50-9d8d-39ce8941180a","resolution":{"observed_at":"2026-08-14T15:21:01.599690Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.580646Z","title":null,"venue":null,"work_id":"4399e87d-9f4e-4870-b4ca-455ffca827ca","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.362166Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:7408f969f4f24697c503970f024659b98bdc755593c06b76da39a7ea40d0b36b","observation_id":"2d067e13-8500-44aa-bc24-94e789e2d939","resolution":{"observed_at":"2026-08-14T15:21:01.585142Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.565518Z","title":null,"venue":null,"work_id":"a9fbb55c-410d-46fc-b29a-137bf0f8c849","year":2015},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.366807Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:09fa38eb0f5fdb182273cc228b0b2ba0306ef393a92686e44ac1345631d07d6d","observation_id":"8cef858d-8a94-475d-83e2-06a67b83df1a","resolution":{"observed_at":"2026-08-14T15:21:01.570573Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.550440Z","title":null,"venue":null,"work_id":"affea3e0-324e-4bd7-8847-7a616b4ef26a","year":2004},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.371501Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:655b414910338ad29c1b3fb0f2c70386519739cbab69e931d63e7a1921821978","observation_id":"37fcbff2-2972-49a6-9f97-61760b010818","resolution":{"observed_at":"2026-08-14T15:21:01.554498Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.535390Z","title":null,"venue":null,"work_id":"14a7575f-be19-45ce-a664-13aa1c48dc99","year":2006},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.376104Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:9e24bcca238545fee596642e54d7e66f7b715381ba4420b87f4a1827977c7874","observation_id":"81f5d024-8ece-4abb-8837-fe3ef97693d4","resolution":{"observed_at":"2026-08-14T15:21:01.539807Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.520780Z","title":null,"venue":null,"work_id":"ebdf2b57-be85-4520-9c03-477d0d165e42","year":2018},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.380375Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:68efc57b828eafa56005244776e8f931b9d98748acbebbf29e8f0ec2f539c9e8","observation_id":"533d3db2-62c9-4406-b779-8c4a56c49a14","resolution":{"observed_at":"2026-08-14T15:21:01.525256Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.504916Z","title":"Yin and J","venue":null,"work_id":"9649ef36-2023-44a5-889c-b0128768d66b","year":1983},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.384835Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:88492b56407e70dd49e81ead7f4feb006c7568e07d4ac5ca7fdc3388f8e20c93","observation_id":"5fa77c4b-12ab-43bf-a869-cf80e08e4780","resolution":{"observed_at":"2026-08-14T15:21:01.510020Z","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":"2026-08-14T15:21:01.489182Z","title":null,"venue":null,"work_id":"f586f082-61ef-488a-9f87-1dc4b284eea1","year":null},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.389439Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:8dcbd3d0d2a26997e67fa0151b621f63e1515699778a15b86780d2d12c643ed7","observation_id":"b23561e8-1712-41a2-ace0-9ca1736e805e","resolution":{"observed_at":"2026-08-14T15:21:01.493769Z","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":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:21:01.472716Z","title":null,"venue":null,"work_id":"ef10fd72-b676-41ae-b6b0-c6a74b64d1b1","year":2017},"citing_paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T15:21:01.394167Z"},"links":{"citing_paper":"/paper/1908.01367"},"observation_digest":"sha256:fefaff8de5bcc60d65ce853ce6651fb1d094bece692d479c1420464befe093b9","observation_id":"881e39c7-21b2-4992-bb61-d30ca4c6ee75","resolution":{"observed_at":"2026-08-14T15:21:01.478829Z","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"}}],"paper":{"arxiv_id":"1908.01367","last_updated":"2019-08-04T15:48:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T22:34:14.245606Z","submitted_at":"2019-08-04T15:48:31Z","title":"Unsupervised Learning of Depth and Deep Representation for Visual Odometry from Monocular Videos in a Metric Space"},"reference_resolution":{"displayed":44,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":22,"verified_exact":0,"verified_fuzzy":22},"total_outbound_references":44},"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 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:1908.01367."}