{"as_of":"2026-08-22T12:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d4e370234600bca5a65d08a4bcecbf99dbd78b3890cf73c3de524ae625bb664","coverage":[{"denominator":30,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":30,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T10:34:36.860150Z","state":"measured"},{"denominator":30,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":30,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+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/1908.10899/citation-record","integrity":"/paper/1908.10899/integrity","json":"/paper/1908.10899/citation-record.json","paper":"/paper/1908.10899"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1609.08675","last_updated":"2016-09-27T21:21:49Z","snapshot_observed_at":"2026-08-14T21:37:52.670253Z","submitted_at":"2016-09-27T21:21:49Z","title":"YouTube-8M: A Large-Scale Video Classification Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.08675","snapshot_observed_at":"2026-08-14T10:34:36.697286Z","title":"Youtube-8m: A large-scale video classiﬁ- cation benchmark","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.697286Z"},"links":{"cited_paper":"/paper/1609.08675","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:ee9bc58d8d35ff8ef0ef0e2648444ba1eac2ff46ff7bebee31dd1d3cf924c50c","observation_id":"6ed74635-548e-44bb-ac62-ebb1904902ed","resolution":{"observed_at":"2026-08-14T10:34:36.697286Z","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":"2026-08-14T10:34:37.492858Z","title":"Simple online and realtime tracking","venue":null,"work_id":"3a82a5e1-d6bb-4421-aa4d-3cc5b0d365a8","year":2016},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.704262Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:183c729844324f8df072fe9198cf15cd3869a7e8d98221249a53537e0805f915","observation_id":"caec91d3-0425-4e63-925a-a2d3c77a474d","resolution":{"observed_at":"2026-08-14T10:34:37.500488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.474239Z","title":"Activitynet: A large-scale video benchmark for human activity understanding","venue":null,"work_id":"c7174f9e-b177-4819-b94d-1615f2cd17ea","year":2015},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.710328Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:5236b84882e67fcc6133c422d1d9c1534198671abcf7eea05976586a830d96b7","observation_id":"a5f22ed1-fb3b-4650-822c-5c291236821e","resolution":{"observed_at":"2026-08-14T10:34:37.479598Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.453798Z","title":"Quo vadis, action recognition? a new model and the kinetics dataset","venue":null,"work_id":"7254e19c-4c87-4957-a212-744b418282b5","year":2017},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.716135Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:29b2f59bffbce598845b96144fd162a475cc90151bf44eee6eaccc86a51b8d99","observation_id":"5c36a25e-b16a-41a1-8160-da11ad78021e","resolution":{"observed_at":"2026-08-14T10:34:37.459844Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.430150Z","title":"VGG image annotator (VIA)","venue":null,"work_id":"8a991424-0d54-4ef8-bf96-5f18780260d3","year":2016},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.722357Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:72e662aec8ef2a7b89613200dd3bbc94456f7e0c0186bf31dbda56ebc4423693","observation_id":"a43168f0-9acf-4672-8c37-0f29fcf30b4b","resolution":{"observed_at":"2026-08-14T10:34:37.435821Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.413018Z","title":"Caviar: Context aware vision using image-based active recognition, 2005","venue":null,"work_id":"6589929b-2c10-48b9-946e-e17cac4a5327","year":2005},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.727616Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:0fb36eb7d87e07d5d7920720c87d17685d5253272009744740d1e479cdb4aa32","observation_id":"03e336be-30d2-4b6d-a903-b0eb72400dbf","resolution":{"observed_at":"2026-08-14T10:34:37.418071Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1808.03766","last_updated":"2018-08-23T04:28:38Z","snapshot_observed_at":"2026-08-14T18:42:20.311071Z","submitted_at":"2018-08-11T07:55:51Z","title":"The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary","version":2},"cited_work":{"arxiv_id":"1808.03766","doi":null,"metadata_source":"pith","pith_arxiv_id":"1808.03766","snapshot_observed_at":"2026-08-14T10:34:36.994228Z","title":"The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary","venue":"cs.CV","work_id":"665f0092-474a-4a5a-b9c2-f80f3b45f520","year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.733092Z"},"links":{"cited_paper":"/paper/1808.03766","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:1d68a206071b9dd478bbfc238ecf23ca181df81cded5f856dec80b1abb1294d8","observation_id":"8cf87746-9f3b-45c1-81f7-8a918aa474b2","resolution":{"observed_at":"2026-08-14T10:34:37.001659Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1811.08496","last_updated":"2018-11-23T03:06:34Z","snapshot_observed_at":"2026-08-22T08:29:52.761657Z","submitted_at":"2018-11-20T21:35:07Z","title":"A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos","version":2},"cited_work":{"arxiv_id":"1811.08496","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.08496","snapshot_observed_at":"2026-08-14T10:34:36.966703Z","title":"A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos","venue":"cs.CV","work_id":"e9076b27-b667-4802-85d2-9c16b94e00ea","year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.738577Z"},"links":{"cited_paper":"/paper/1811.08496","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:14a088d068cba40e309ba693bd0f64f37b37935b63a4fd459163abadb0da17d1","observation_id":"fee97949-963f-4d0a-b2ea-7ff10a0fddff","resolution":{"observed_at":"2026-08-14T10:34:36.975519Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.396570Z","title":"Actions as space-time shapes","venue":null,"work_id":"7e637d90-9479-4657-ad8a-d8d0970888ed","year":2007},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.744047Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:e1d130043cb7f3099cc0a7b3e79fcd8fa13cad8279504fe81d52098ffcdcdfac","observation_id":"8b8bafb6-cbc4-4cfa-bf2f-1e252aa92854","resolution":{"observed_at":"2026-08-14T10:34:37.402480Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.379798Z","title":"Making the v in vqa matter: Elevating the role of image understanding in visual question answering","venue":null,"work_id":"774baa72-c36c-45e1-9e7e-b675a78e7743","year":2017},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.749071Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:16492f31a88c41ca7d9f7dd138d664267aa72b357cc10a6ba0e0c08743c9c4ce","observation_id":"7f3b8d28-12fd-41ae-b787-64c9434e2997","resolution":{"observed_at":"2026-08-14T10:34:37.385344Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.360694Z","title":"A., V ONDRICK , C., P ANTO - FARU, C., L I, Y., V IJAYANARASIMHAN , S., T ODERICI , G., R ICCO , S., S UKTHANKAR , R., ET AL","venue":null,"work_id":"bfc38c08-54fb-4a0f-8f82-bda6f9835ea9","year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.754394Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:a35d04af73b0f5f683e7749f858249a9bd2975730e0b576b544c87f2d95d88e0","observation_id":"60c91574-a953-4669-8cde-1806c00f3920","resolution":{"observed_at":"2026-08-14T10:34:37.365550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.342860Z","title":"Mask r-cnn","venue":null,"work_id":"2d686314-63a2-43ad-a8b4-4701f8b0ae79","year":2017},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.760799Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:abbc5ed15d2ed37de9cb8532770c711edf377ba148ce3a666473d2534d31506a","observation_id":"a9ac55d7-a6d2-4716-977d-49604a483000","resolution":{"observed_at":"2026-08-14T10:34:37.348192Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.323790Z","title":"THU- MOS challenge: Action recognition with a large number of classes, 2014","venue":null,"work_id":"a09e91dd-c815-4dbd-ab7b-3484c3542179","year":2014},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.766248Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:52c8e65410e8910f62dfd22c6edd488e66ce3dabb668fdcac4cd83b71d08dddc","observation_id":"2a20315f-8b89-4884-8e08-3ca43637c62d","resolution":{"observed_at":"2026-08-14T10:34:37.330274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.303358Z","title":"Large-scale video classiﬁcation with convolutional neural networks","venue":null,"work_id":"c126caa7-0c08-4f89-9067-7907d07bde07","year":2014},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.772423Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:c97ceb02be90a2e57f631f778ef7fb05d998573ad1c0b8915c8506cdae4854e0","observation_id":"aad808c4-cba8-4633-bb85-9e239ae85b33","resolution":{"observed_at":"2026-08-14T10:34:37.309315Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06950","last_updated":"2017-05-19T12:07:01Z","snapshot_observed_at":"2026-08-20T22:03:51.775198Z","submitted_at":"2017-05-19T12:07:01Z","title":"The Kinetics Human Action Video Dataset","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1705.06950","snapshot_observed_at":"2026-08-14T10:34:36.779041Z","title":"The kinetics hu- man action video dataset","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.779041Z"},"links":{"cited_paper":"/paper/1705.06950","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:30dc4ca093ed16110dba0c318dd7f6cd47eea62de19d9b19da86e26c05446032","observation_id":"9e2a3fe2-f48b-4b24-ada5-524a6c3b2df5","resolution":{"observed_at":"2026-08-14T10:34:36.779041Z","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":"2026-08-14T10:34:37.279736Z","title":"Hmdb: a large video database for human motion recognition","venue":null,"work_id":"17f4e114-f86a-4210-881d-dcda38bc33fd","year":2011},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.784955Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:3ede715ea7ff8d85b301c960b7c4601ad50a4de0fb13c820b9d75bbe37dbb892","observation_id":"298123c5-d5a3-49a7-aaeb-4a36423dce83","resolution":{"observed_at":"2026-08-14T10:34:37.285677Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.256275Z","title":"Recognizing human ac- tions: a local svm approach","venue":null,"work_id":"3daf99b7-22db-435b-a22b-784268e13e54","year":2004},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.790508Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:6fabdb7387fea87360bf89f45723584e2375f62d53d119d6d0ee31b8d0b00925","observation_id":"e03067e7-53f9-40e0-b3f5-7282b21476cb","resolution":{"observed_at":"2026-08-14T10:34:37.262927Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1801.03150","last_updated":"2019-02-16T13:20:03Z","snapshot_observed_at":"2026-08-14T19:56:31.884613Z","submitted_at":"2018-01-09T21:46:38Z","title":"Moments in Time Dataset: one million videos for event understanding","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1801.03150","snapshot_observed_at":"2026-08-14T10:34:36.795417Z","title":"A., Y AN, T., B ROWN , L., F AN, Q., GUTFRUEND , D., V ONDRICK , C., ET AL","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.795417Z"},"links":{"cited_paper":"/paper/1801.03150","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:76637fbe40123fc5f3c08bc0c5fa6b4e0476434191f0d761e3b7c813f855ab2d","observation_id":"6e72307e-fc77-49bd-83ea-724f3d1afb60","resolution":{"observed_at":"2026-08-14T10:34:36.795417Z","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":"2026-08-14T10:34:37.236722Z","title":"T., M UKHERJEE , S., A GGARWAL , J., L EE, H., D AVIS, L., ET AL","venue":null,"work_id":"e4a7efc2-606a-43e4-924c-ab76b09642ba","year":2011},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.801392Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:97ecbf5b5dfbac6ab62194c694a7debca4c0e42481a90298ecf9c2c8b667e8de","observation_id":"3b5cc3d4-8354-4d80-b924-87d04de3a565","resolution":{"observed_at":"2026-08-14T10:34:37.243313Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.206059Z","title":"A., V AROL , G., W ANG , X., F ARHADI , A., L APTEV , I., AND GUPTA, A","venue":null,"work_id":"161ca575-d53d-4723-bde6-3c0b7e9737ef","year":2016},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.806568Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:1a17bd4ec95a3d0ef8683c1be1186e60166a52b895418a67061ec7987272a40d","observation_id":"773313bf-5a14-464b-879c-7e393060d357","resolution":{"observed_at":"2026-08-14T10:34:37.217728Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.176649Z","title":"Two-stream con- volutional networks for action recognition in videos","venue":null,"work_id":"6808e7ab-3f9e-484d-91dd-69e2ed8a2587","year":2014},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.812513Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:f05c6f40d0a9ca3e6e8cb666f7394f8477163e64df77024d21cd3979bf9e1b5b","observation_id":"a645255f-0394-40bc-a80f-e548fca67c70","resolution":{"observed_at":"2026-08-14T10:34:37.185158Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-08-16T21:21:44.768787Z","submitted_at":"2012-12-03T14:45:31Z","title":"UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1212.0402","snapshot_observed_at":"2026-08-14T10:34:36.818676Z","title":"R., AND SHAH , M","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.818676Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:21f274167007a008fb4ac2f7e92d589bd0cb0a927c22dddca7f1ec9ec3e5b2b7","observation_id":"1ad65f42-920d-4565-8efa-225a7b736ef0","resolution":{"observed_at":"2026-08-14T10:34:36.818676Z","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":"2026-08-14T10:34:37.155094Z","title":"UCF aerial action dataset","venue":null,"work_id":"b2780de0-fc09-4f09-a938-3e2d8853dab9","year":2009},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.824078Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:ef6d30b5a39557f4adfbc11967c6ef56803944ae995ffada786203fa3047bcc8","observation_id":"28da8735-fa40-440e-a0ec-29dbdb8e6371","resolution":{"observed_at":"2026-08-14T10:34:37.160959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.133143Z","title":"Cider: Consensus-based image description evaluation","venue":null,"work_id":"8002c9a0-3846-46bd-9358-d5921bcd75e5","year":2015},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.829894Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:7ebafcd23073898277a5ed216d6805d2c7c1365a86117deb02884fea9f84074b","observation_id":"a5f39290-470c-4319-a3aa-370bacef0ad8","resolution":{"observed_at":"2026-08-14T10:34:37.140976Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.115890Z","title":null,"venue":null,"work_id":"a18ba912-8008-40bd-9596-ea117494d106","year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.834979Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:66fcb0200dcae4397bb2071c08f3121dd7077dfa6bf2eb66fcb8c5194ba3419a","observation_id":"db05ace3-4a58-4bfc-ab73-16b5d42eeef5","resolution":{"observed_at":"2026-08-14T10:34:37.121444Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.096433Z","title":"Temporal segment net- works: Towards good practices for deep action recogni- tion","venue":null,"work_id":"9cf9c10e-790b-413b-ab01-422dce185c0f","year":2016},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.839495Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:dc88ba3458f8dde99147d0629194c46aabdc99a9e64d504b56c4ccfa080e9c36","observation_id":"48cd34a5-cbd0-4da5-9f54-292137cbd227","resolution":{"observed_at":"2026-08-14T10:34:37.103145Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.076956Z","title":"Non- local neural networks","venue":null,"work_id":"4fdf4dab-7f17-49cc-b48a-d2bd37240cc1","year":2018},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.844101Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:f907563c17e2721896d4ddc128618f17c3f2feb5de63b032cf5f15cd16363c72","observation_id":"daea6872-60b9-4b5f-ae44-4e36da32a909","resolution":{"observed_at":"2026-08-14T10:34:37.082221Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.056553Z","title":"A structured model for action detection","venue":null,"work_id":"de56cca4-104c-4384-8b23-196cf71b731f","year":2019},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.850231Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:6e924432c9ce9cfb704e3f654eef0aaccd3bd6f030be5f1b85ec0e38b632b1d5","observation_id":"ff89be48-285a-4c7c-a46c-fce0a142c134","resolution":{"observed_at":"2026-08-14T10:34:37.062652Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+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":"2026-08-14T10:34:37.038207Z","title":"Tra- jectory series analysis based event rule induction for visual surveillance","venue":null,"work_id":"d096fc58-8d66-4a89-9e60-323f8849fb39","year":2007},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.855321Z"},"links":{"citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:2be0cd73bf90bad886964a8b494708448eb0018765643cfe428d9105ab99a943","observation_id":"6e62743a-c47e-4bce-ae2b-3f6003750ab5","resolution":{"observed_at":"2026-08-14T10:34:37.044319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1712.09374","last_updated":"2019-09-04T07:35:48Z","snapshot_observed_at":"2026-08-14T20:00:00.988971Z","submitted_at":"2017-12-26T19:09:11Z","title":"HACS: Human Action Clips and Segments Dataset for Recognition and Temporal Localization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1712.09374","snapshot_observed_at":"2026-08-14T10:34:36.860150Z","title":"Hacs: Human action clips and segments dataset for recognition and temporal localization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T10:34:36.860150Z"},"links":{"cited_paper":"/paper/1712.09374","citing_paper":"/paper/1908.10899"},"observation_digest":"sha256:bfb02bcb8e693d2ff6a69bd9ff7b1497f8b56d73af73d134ce9b0737e25bbe43","observation_id":"a949f989-c700-4237-a4f0-9c0996e222dd","resolution":{"observed_at":"2026-08-14T10:34:36.860150Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1908.10899","last_updated":"2019-09-15T19:21:43Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-22T10:17:16.903769Z","submitted_at":"2019-08-28T18:28:12Z","title":"Out the Window: A Crowd-Sourced Dataset for Activity Classification in Security Video"},"reference_resolution":{"displayed":30,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":6,"verified_exact":1,"verified_fuzzy":22},"total_outbound_references":30},"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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.10899."}