{"as_of":"2026-08-16T08:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e1d10de0c3048d21c7de1dec90b8a642b4777cb092922ddc90e2b97e904f73d","coverage":[{"denominator":58,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":58,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:06:57.258879Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"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/1908.05877/citation-record","integrity":"/paper/1908.05877/integrity","json":"/paper/1908.05877/citation-record.json","paper":"/paper/1908.05877"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:06:58.038119Z","title":"Evaluation of output embeddings for ﬁne-grained image classiﬁcation","venue":null,"work_id":"88609356-a240-413d-bbd2-bde099cf204b","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:56.987222Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:761627ade6c38269844a4d2a25a1a8c21fd1deabd15e0bb9393ee5d3768f4094","observation_id":"5c506476-4a0a-4303-ab67-b11f0de1b1d7","resolution":{"observed_at":"2026-08-14T13:06:58.044873Z","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":"2026-08-14T13:06:58.021803Z","title":"Exploring synonyms as context in zero-shot action recognition","venue":null,"work_id":"5cdb7867-09d3-4a2e-b79c-c5036849055d","year":2016},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:56.991715Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:eb7bd56c314bb5c21d14d9c9c511978e5caeca2b3b8a3e5c7b5f9e3635757ab2","observation_id":"1eb0c98a-1f86-448c-8c04-1b5ed3a3663f","resolution":{"observed_at":"2026-08-14T13:06:58.026629Z","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":"2026-08-14T13:06:58.006685Z","title":"Floor ﬁelds for tracking in high density crowd scenes","venue":null,"work_id":"e496a48a-d622-4ad7-af84-82644f595f05","year":2008},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:56.996211Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:ad5b493996d4ef3f1add35f84712274c9350a0cb5864adb632f33c0d16fb8d50","observation_id":"2062fde2-de0a-4b8b-8a3d-56ff719f23c7","resolution":{"observed_at":"2026-08-14T13:06:58.011664Z","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":"2026-08-14T13:06:57.991309Z","title":"Modelling crowd scenes for event detection","venue":null,"work_id":"d1da5e28-f43e-4d08-8714-ba1270f92b1d","year":2006},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.000905Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:cca03139fada467aae3968deb9e1b92572a901c6a779df85d88cbce5d13de0fc","observation_id":"971d5d57-6c9c-4278-8192-4cd0a1161708","resolution":{"observed_at":"2026-08-14T13:06:57.996813Z","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":"2026-08-14T13:06:57.977487Z","title":"Learning multi-label scene classiﬁcation","venue":null,"work_id":"2c970e2a-c0b2-4ad0-9d2f-8bb967c3971d","year":2004},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.006733Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:1f17d0457b04e8332e89e0b6c654c37f0f1c963742367ce6d94b9b166b70ac85","observation_id":"ecb615bd-e55b-4e9d-9ae1-dc96abb91088","resolution":{"observed_at":"2026-08-14T13:06:57.981927Z","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":"2026-08-14T13:06:57.964224Z","title":"LIBSVM: A library for support vector machines","venue":null,"work_id":"0a7e653c-221b-4560-a690-f24fbae5ce72","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.010989Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:0821799c609cb3a420739b34027122d61b04be8cb18c2b440b7721364b1fa7a7","observation_id":"3120fd2b-86ee-41ad-a41f-820cefa31d6c","resolution":{"observed_at":"2026-08-14T13:06:57.968709Z","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":"2026-08-14T13:06:57.949487Z","title":"Feature mining for localised crowd counting","venue":null,"work_id":"703f4a06-5418-4b9b-9203-b63af28a2f0d","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.016205Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:26790983631ab215ac98b4485e380263274674d4530e421f379e751edd60c8c8","observation_id":"93d37388-9a58-4a8e-961e-426162f8283f","resolution":{"observed_at":"2026-08-14T13:06:57.954242Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:06:57.020651Z","title":"Histograms of oriented gradients for human detection","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.020651Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:ae1b789e5f7c8839d0e8276c214e5e722092d5e0e31488043f4ec9db43d15c12","observation_id":"acb7a760-fb75-4db0-b5b7-d809b6a0a1bb","resolution":{"observed_at":"2026-08-14T13:06:57.020651Z","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":"2026-08-14T13:06:57.928722Z","title":null,"venue":null,"work_id":"cc13180d-9935-490f-b703-8b4bf68c12ad","year":null},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.024983Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:d809de7b0cf69b29932fc70141132a2265998d268dadb99f2c76042bd24cfe8d","observation_id":"62b6a132-d98f-4964-aa63-7cac1ad2ad96","resolution":{"observed_at":"2026-08-14T13:06:57.932843Z","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":"2026-08-14T13:06:57.915980Z","title":"Devise: A deep visual-semantic embedding model","venue":null,"work_id":"36fa85ac-1d7f-41f8-b4ed-6f81621d2859","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.029869Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:1f485c8d7a551e219a04a0cb7c8625e3babf4f0545565d4740df65a1739b88f2","observation_id":"a2d3b5fe-794a-4ebb-9b7f-a3e4f62f17c0","resolution":{"observed_at":"2026-08-14T13:06:57.920802Z","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":"2026-08-14T13:06:57.901803Z","title":"Transductive Multi- view Zero-Shot Learning","venue":null,"work_id":"40f5a9b0-88ff-4f57-93c5-e457d1a8ab79","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.033915Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:de7514393c6059250f171e2de06cf16db68a148d8fbed538f090be759ef1ac01","observation_id":"e33efd52-ac03-4585-8e3e-233850383520","resolution":{"observed_at":"2026-08-14T13:06:57.907203Z","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":"2026-08-14T13:06:57.886128Z","title":"Trans- ductive Multi-Label Zero-shot Learning","venue":null,"work_id":"be4a5277-e29b-468e-9f3c-73a436efc698","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.038021Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:c137540a14a8670de85d6a977c51ac42a7f62b43a0dddf7fbd2788e7457c3ed4","observation_id":"0e5b08a9-43a0-48be-b7ce-9e36c0457546","resolution":{"observed_at":"2026-08-14T13:06:57.891946Z","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":"2026-08-14T13:06:57.872654Z","title":"Multilabel classiﬁcation via calibrated label ranking","venue":null,"work_id":"b7c3abac-4566-48bb-8df6-b1a82816c0a2","year":2008},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.043241Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:700d8927c4380af66bec25d282a930f08d45a2fccfa0a730eabdabc0cf93dec6","observation_id":"2a8f839b-2926-4e1e-8bd7-1115d14d1b41","resolution":{"observed_at":"2026-08-14T13:06:57.877500Z","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":"2026-08-14T13:06:57.856751Z","title":"Exploring semantic inter-class relationships (sir) for zero-shot action recognition","venue":null,"work_id":"8646bb94-36b7-445f-8f40-d45228b1f041","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.048162Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:a296b44cae2ceecd204c6f9abec3b6c15687cb75c4c036ad6f0c7939d95c768d","observation_id":"37889f37-d966-4225-a705-8383bdebe4d5","resolution":{"observed_at":"2026-08-14T13:06:57.861108Z","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":"2026-08-14T13:06:57.843929Z","title":"Devnet: A deep event network for multimedia event detection and evidence recounting","venue":null,"work_id":"726b7c2a-181b-47d9-8aeb-6b5e66ef4a4b","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.052947Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:c112633cde89b125a3b2182d067983c1e91018fa8175960d6be6eed869fe617b","observation_id":"fecca9b5-0b4b-4d35-9401-9cecc925482f","resolution":{"observed_at":"2026-08-14T13:06:57.848283Z","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":"2026-08-14T13:06:57.830160Z","title":"Collective multi-label classiﬁcation","venue":null,"work_id":"ce9cb074-02bf-44a5-a8eb-78bcfce1e8ac","year":2005},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.057562Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:c8b045c2d49e514ace2baa58abdde8d26b35e8b27a266d14d63d3649bfc691dc","observation_id":"359326d6-14c4-4517-bea9-9162c085079c","resolution":{"observed_at":"2026-08-14T13:06:57.834642Z","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":"2026-08-14T13:06:57.817827Z","title":"Security and surveillance","venue":null,"work_id":"63e375ef-a6b4-48b0-8a0f-4108d22fb4be","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.062161Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:dcd7dec72a82352d9e61a9f3d5caacfe5b4c6ee20b1cbc3550dda95c9d3d6e6c","observation_id":"f1f02e51-b35b-41a6-b54d-7189e3f95bab","resolution":{"observed_at":"2026-08-14T13:06:57.821843Z","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":"2026-08-14T13:06:57.806004Z","title":"Efﬁcient max-margin multi-label classiﬁcation with applications to zero-shot learning","venue":null,"work_id":"9f62fd66-5f31-4b8d-9709-83c2d3093d1f","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.066778Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:2f03de4f22519f7c360f45ed26dafbe3f6c3bb65cca2f1ea4742378552086302","observation_id":"53bdf1ee-9b68-4a85-bab6-724594e655c1","resolution":{"observed_at":"2026-08-14T13:06:57.810509Z","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":"2026-08-14T13:06:57.794084Z","title":"Violent ﬂows: Real-time detection of violent crowd behavior","venue":null,"work_id":"5ea8fa91-44c8-4cf7-8c6d-94c463d36978","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.072585Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:e52d0d686ff60e77f2a8eb21bfb4ae9b74e1fa4b15b21d29628dc840f41920f0","observation_id":"8573a6cc-9670-4009-a159-63137bbfae3e","resolution":{"observed_at":"2026-08-14T13:06:57.798507Z","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":"2026-08-14T13:06:57.782575Z","title":null,"venue":null,"work_id":"1731fa96-0f22-46a0-beb0-45a0e015d566","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.077117Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:bb1b7e99f0f13a654539b19e0bab69037f70cf5fb4dc951c406129e7a8372c06","observation_id":"ce2cc47b-539e-4a16-974a-96e981814007","resolution":{"observed_at":"2026-08-14T13:06:57.786505Z","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":"2026-08-14T13:06:57.770896Z","title":"Anomaly detection in extremely crowded scenes using spatio- temporal motion pattern models","venue":null,"work_id":"d335a590-eb32-4805-b96c-093cffeaa661","year":2009},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.084328Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:be62c76b807499f616c4d56654fc5d167d9c561e17fb778f4cb6627f9147b4e8","observation_id":"9d5c20b6-1b5e-493d-b6dd-f1fdd2d5d98f","resolution":{"observed_at":"2026-08-14T13:06:57.775100Z","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":"2026-08-14T13:06:57.758646Z","title":"Hmdb: A large video database for human motion recognition","venue":null,"work_id":"b63f8e93-6f51-44ec-a86f-4abeebeecdf3","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.093173Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:74a8201822b96f8b67311efefd723e0ff2c4ee89523f3d23669d31e4a617d7a0","observation_id":"3c28d90b-c19d-44a4-934e-6428c264d8fe","resolution":{"observed_at":"2026-08-14T13:06:57.762702Z","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":"2026-08-14T13:06:57.747556Z","title":"Lampert, H","venue":null,"work_id":"fb20706a-62c6-41be-9bf3-d8d46cdb84eb","year":2009},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.097545Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:cb45c13f37f2d951fc589a22007d0b961cab3dba056be8100255350075e1bee2","observation_id":"b320264d-464e-4144-b9da-f142eb566117","resolution":{"observed_at":"2026-08-14T13:06:57.751350Z","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":"2026-08-14T13:06:57.735643Z","title":"Beyond bags of features: Spatial pyra- mid matching for recognizing natural scene categories","venue":null,"work_id":"111dcfad-32c4-4606-934e-18b8fbd09f78","year":2006},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.101870Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:f497d5e20aad1ccf875628d0fea8b4edbbe34aad5b7f189d64a89733a3616512","observation_id":"4154dcc6-3d15-4007-84e7-6a234e0649e9","resolution":{"observed_at":"2026-08-14T13:06:57.739849Z","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":"2026-08-14T13:06:57.723654Z","title":"Learning behavioural context","venue":null,"work_id":"0960219b-4148-42a1-a1fc-4dadc736c639","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.106720Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:8983f93334d4c7cc0f1af1fea9cf22d204e903accf500c6f251a024941f33bb7","observation_id":"c9a11aca-c981-4cba-af96-44b0617aacc7","resolution":{"observed_at":"2026-08-14T13:06:57.727648Z","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":"2026-08-14T13:06:57.712152Z","title":"Multi-label image classiﬁcation with a probabilistic label enhancement model","venue":null,"work_id":"c2de6cc7-d1b7-4b21-b335-7285e48d920c","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.111230Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:82d55def43dc9f9aea37ea73f6ce4d793a10449c79d1e49faf94d7486b1d5980","observation_id":"089f35dc-af58-4777-a896-4933db8ea841","resolution":{"observed_at":"2026-08-14T13:06:57.716325Z","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":"2026-08-14T13:06:57.699116Z","title":"Crowd counting and proﬁl- ing: Methodology and evaluation","venue":null,"work_id":"0ddf1922-37e0-4ccc-b64d-948549207535","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.115637Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:9180b36770fc564ca481d844fedeff2efc2ef5d909c76dae125da49ccf452856","observation_id":"f8c3cfda-4137-4e51-90f6-63fb66dccb2b","resolution":{"observed_at":"2026-08-14T13:06:57.704115Z","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":"2026-08-14T13:06:57.687728Z","title":"COSTA: Co-occurrence statistics for zero-shot classiﬁcation","venue":null,"work_id":"9c73df68-488f-499e-8c3f-65b577c8a59c","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.121743Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:f0e34d9a56ef5cd74bd2b8b9a927546c99b672dabd9caa8c12294389e2b4549b","observation_id":"1e68ccf6-610b-4145-bc37-30941c07d09e","resolution":{"observed_at":"2026-08-14T13:06:57.691709Z","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":"2026-08-14T13:06:57.676151Z","title":"Distributed Rep- resentations of Words and Phrases and their Compositionality","venue":null,"work_id":"5965d298-b89f-45b0-8960-4e5450797656","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.126998Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:f7606cda60c24589543a0adf3035aeb57bb63db1e322188743e5fd87a73132e8","observation_id":"85bf2063-c1a4-4d27-a6da-881380fe1d01","resolution":{"observed_at":"2026-08-14T13:06:57.680204Z","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":"2026-08-14T13:06:57.662481Z","title":"Modeling temporal structure of decom- posable motion segments for activity classiﬁcation","venue":null,"work_id":"354350d3-f202-4fba-8cf3-9d2dcccb6239","year":2010},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.135241Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:cb17f75a5725eea8b9d0532040dfbb65c14e5bff7e05ba1e81b6777f19cd52da","observation_id":"c399baff-6fe7-423b-8457-65a519fa96c4","resolution":{"observed_at":"2026-08-14T13:06:57.667375Z","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":"2026-08-14T13:06:57.650943Z","title":"Modeling the shape of the scene: A holistic representation of the spatial envelope","venue":null,"work_id":"b1b25e7b-1d2f-4838-9aa5-0d87818c5388","year":2001},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.139526Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:0b5a8bf9ce4a465e70747f60b0c57c087236aee1850f6f0ae6f4af223c611c4c","observation_id":"9a3d4fb6-c849-410c-acf6-e3452a922480","resolution":{"observed_at":"2026-08-14T13:06:57.655177Z","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":"1409.3505","last_updated":"2014-09-11T17:13:26Z","snapshot_observed_at":"2026-08-14T23:19:49.362780Z","submitted_at":"2014-09-11T17:13:26Z","title":"DeepID-Net: multi-stage and deformable deep convolutional neural networks for object detection","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1409.3505","snapshot_observed_at":"2026-08-14T13:06:57.143781Z","title":"Deepid-net: multi-stage and deformable deep convolutional neural networks for object detection","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.143781Z"},"links":{"cited_paper":"/paper/1409.3505","citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:843763c54bbd5068e9753ef18686a9f72d734b4d3888dbe8c6a71daf9c42e684","observation_id":"18b9002e-9de3-4534-97cc-ac0bb8957fa7","resolution":{"observed_at":"2026-08-14T13:06:57.143781Z","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":"2026-08-14T13:06:57.638824Z","title":"Glove: Global vectors for word representation","venue":null,"work_id":"ffcb2187-4b94-4c70-bac7-ea755aac64c1","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.149152Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:1829b759673d31f2ed59bc273fed93239705eed59bda0f333f2c0eacc3b576de","observation_id":"a45c8473-a180-4d49-9755-d4b8ce9c1a72","resolution":{"observed_at":"2026-08-14T13:06:57.643018Z","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":"2026-08-14T13:06:57.626648Z","title":"Improving the Fisher kernel for large-scale image classiﬁcation","venue":null,"work_id":"a3c26866-2ca0-49db-8b03-ee33f161bd3a","year":2010},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.153152Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:e1c9c0ed167a785e22c6f3028caf317a3e28599ee986c527c9858ba0357915f9","observation_id":"1320666b-3299-4f1a-b649-9add205d784d","resolution":{"observed_at":"2026-08-14T13:06:57.630840Z","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":"2026-08-14T13:06:57.614464Z","title":"Cor- relative multi-label video annotation","venue":null,"work_id":"0a6abdec-2079-4114-b247-0c48af2d7fa5","year":2007},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.157742Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:9826bff1ea6aad6b9c394ca7483acd2b9b3436f35ca9613149826ccbf6ff12cb","observation_id":"19b440aa-6b9b-46ad-b62f-9869742dc8c5","resolution":{"observed_at":"2026-08-14T13:06:57.618805Z","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":"2026-08-14T13:06:57.601889Z","title":"Data-driven crowd anal- ysis in videos","venue":null,"work_id":"324715a9-f7e1-41d1-ba7f-ed1de809ed98","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.162021Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:3b90faf9cb3b7eb4dfa4fabfa131380ef470ff2ee58005ead5d7adae5e6774cc","observation_id":"ffa68033-8097-47a0-946c-7baad6ac307f","resolution":{"observed_at":"2026-08-14T13:06:57.606443Z","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":"2026-08-14T13:06:57.589276Z","title":"Evaluating knowledge transfer and zero- shot learning in a large-scale setting","venue":null,"work_id":"7d290ce7-add2-45c5-a72d-cfeeac4ebc31","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.166409Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:e90479a88e058c71fa327651f9b776433cddfa829a6a969b0de428d3a7cf9a4e","observation_id":"39b83493-d759-4c31-a209-7e6e89abe774","resolution":{"observed_at":"2026-08-14T13:06:57.593796Z","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":"2026-08-14T13:06:57.576965Z","title":"What helps where - and why? Semantic relatedness for knowledge transfer","venue":null,"work_id":"686d4e5d-fda7-4925-be8d-ffb795f5350d","year":2010},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.170756Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:566b1dadbf3408e3985a9c3bc6497a04084ab8c7750c5a3910d2e0cabb002a19","observation_id":"ec1f26d7-b421-443c-baa7-c70c5373f6d0","resolution":{"observed_at":"2026-08-14T13:06:57.581474Z","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":"2026-08-14T13:06:57.562408Z","title":"An embarrassingly simple approach to zero-shot learning","venue":null,"work_id":"ce6f9ebf-7505-467a-a89c-ca91b66bc68b","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.174955Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:171519686c9f97f914acfba69f7d3c95bee9681ef3b04ff509e631d8ac96847e","observation_id":"3fcd9374-e4c9-46a6-af35-4225b7930916","resolution":{"observed_at":"2026-08-14T13:06:57.567263Z","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":"2026-08-14T13:06:57.549019Z","title":"Scene understanding by statistical mod- eling of motion patterns","venue":null,"work_id":"3ce54ab1-7aa6-41b7-8a63-6f13a10607d0","year":2010},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.179135Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:b389457f5d21a6126af5e678e7f20db93fed078a9fe8aa645bdea6c1d2446131","observation_id":"93b61f3e-9d2e-4f48-b7c9-1a4f570c36c5","resolution":{"observed_at":"2026-08-14T13:06:57.553838Z","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":"2026-08-14T13:06:57.534356Z","title":"Deeply learned attributes for crowded scene understanding","venue":null,"work_id":"5ada8b58-469e-4968-bb39-78b5c148e9a0","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.183170Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:42fe2154822e2b139f37803f3d511ba8cd460e7af7f79c16b1c362f1dabb2930","observation_id":"04a188b9-f056-46d3-a7bf-c37c210358af","resolution":{"observed_at":"2026-08-14T13:06:57.540406Z","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":"2026-08-14T13:06:57.520783Z","title":"Scene-independent group proﬁling in crowd","venue":null,"work_id":"fa5f678d-a004-439b-b598-2094b5db3ee4","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.187765Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:3dc935ff90c66599c591adde0928f1aaaf9ffa49d2c496110d752e8014adff4d","observation_id":"4272932e-7bd7-4323-99aa-06c62b3fdb81","resolution":{"observed_at":"2026-08-14T13:06:57.525655Z","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":"2026-08-14T13:06:57.505888Z","title":"Zero-shot learning through cross-modal transfer","venue":null,"work_id":"4ef66590-22ae-4403-8ef6-47ae9e4d7b01","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.191907Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:6a697d4a2c0b6d2e5a13b51ff1703df29218db6864061b10b01bc1da480a9fb4","observation_id":"03ca7ec7-f3d9-40aa-a737-7cb12cb9bd80","resolution":{"observed_at":"2026-08-14T13:06:57.511788Z","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":"1212.0402","last_updated":"2012-12-03T14:45:31Z","snapshot_observed_at":"2026-08-15T13:34:03.745436Z","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":"2026-08-14T13:06:57.195900Z","title":"Ucf101: A dataset of 101 human actions classes from videos in the wild","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.195900Z"},"links":{"cited_paper":"/paper/1212.0402","citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:5ea5698d5bed0e2a213e32b55af0f9159744012b5cdb12cb7f8ac5256393b246","observation_id":"8a3be8c5-6700-42ad-a235-f536a93c6ae0","resolution":{"observed_at":"2026-08-14T13:06:57.195900Z","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":"2026-08-14T13:06:57.492025Z","title":"Random k-labelsets: An ensemble method for multilabel classiﬁcation","venue":null,"work_id":"e867adfa-7844-442d-986b-509316cd7708","year":2007},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.200396Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:c9071b62ee9e17d61b59d9aa33679263b649b5f57b6fa5687e1818455e3d78bf","observation_id":"16a889eb-870d-4b16-bd5a-de9444b38fcb","resolution":{"observed_at":"2026-08-14T13:06:57.496967Z","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":"2026-08-14T13:06:57.479002Z","title":"Parametric mixture models for multi-labeled text","venue":null,"work_id":"4a883854-b870-40a7-ba24-8d67ffd7364b","year":2002},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.204745Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:7a8dd45bdec105c323d988905c1cb244cff21af66b4052b4e390eb496a8c9d1c","observation_id":"7d610cae-0bc1-49b2-b7fe-90f1626ea419","resolution":{"observed_at":"2026-08-14T13:06:57.482963Z","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":"2026-08-14T13:06:57.467025Z","title":"A sequential topic model for mining recurrent activities from long term video logs","venue":null,"work_id":"088f6817-ec2d-4190-8cfc-a833edeae64b","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.209093Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:3971873fd37f1393037a129575177fc6cac71d6d7166ce568b3654bd9c14d4b1","observation_id":"b9db3047-e9c3-48f0-b56e-e3a046da8d98","resolution":{"observed_at":"2026-08-14T13:06:57.471261Z","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":"2026-08-14T13:06:57.454330Z","title":"Action recognition by dense trajectories","venue":null,"work_id":"449e1960-9990-4569-8623-ec222d4acd5f","year":2011},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.213621Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:67dec872fb33728f5ae6c6bc46a98102b0cbaad50129b8708baa96db1f3564d2","observation_id":"7ce2ad5b-504b-4145-9973-7a33640506cb","resolution":{"observed_at":"2026-08-14T13:06:57.458549Z","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":"2026-08-14T13:06:57.442004Z","title":"A robust and efﬁcient video representation for action recog- nition","venue":null,"work_id":"a9609871-0eeb-4494-ad78-8e57197afa03","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.217993Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:63cbe9239c6eb09c51bc036fdf1b3b531f18b0046145131832b4ad9629061a45","observation_id":"b9df0939-84e1-4941-82ae-fc88ab638cc6","resolution":{"observed_at":"2026-08-14T13:06:57.446062Z","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":"2026-08-14T13:06:57.428863Z","title":"Unsupervised activity perception in crowded and complicated scenes using hierarchical bayesian models","venue":null,"work_id":"71caee33-d706-49ca-8eed-f03f606aa682","year":2009},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.222620Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:a9af0e870a17bb2b332397c9f9c488d7ea51a2843da386346fc8e732b5ffd3e7","observation_id":"650a78dc-f4c9-431a-a7a8-1a62aaa87b19","resolution":{"observed_at":"2026-08-14T13:06:57.434089Z","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":"2026-08-14T13:06:57.415586Z","title":null,"venue":null,"work_id":"5d0ede34-f91e-4b34-b3f3-a71be920f3c9","year":2016},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.227808Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:4c30d91eea30788f7d899c4a7acd044227c7facd71a4dfa1bcdaccc0c6addf07","observation_id":"c503a292-2646-42f1-a304-3aa94c4288db","resolution":{"observed_at":"2026-08-14T13:06:57.419419Z","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":"2026-08-14T13:06:57.403248Z","title":"Cross-domain trafﬁc scene understanding by motion model transfer","venue":null,"work_id":"0a365f1a-cfbf-4bed-a1ce-6619ba515e68","year":2013},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.232496Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:e5c617683ba95dccdae8df476d7f4d9719bcd1ab1e92aa5d6854647b6b7dc4b0","observation_id":"659ecbc5-ed4a-4cae-862f-0c43ee31724f","resolution":{"observed_at":"2026-08-14T13:06:57.407561Z","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":"2026-08-14T13:06:57.389673Z","title":"Semantic embedding space for zero-shot action recognition","venue":null,"work_id":"5bb1a2c3-6bbf-4793-be0c-9904b649b159","year":2015},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.237121Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:9ddb2989430b0fdd9d7acb88587f601c237dfec5968f2f10c6b37d158ad3f89e","observation_id":"8747b32f-2513-4b23-be47-b5ec301d0169","resolution":{"observed_at":"2026-08-14T13:06:57.394598Z","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":"2026-08-14T13:06:57.375859Z","title":"Ml-knn: A lazy learning approach to multi-label learning","venue":null,"work_id":"32952ee8-7992-411e-979e-e74c856e2c0f","year":2007},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.241571Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:28e818e10685d35ea361c6ca2059fbd72fbfa63f8efceeb2d9becbf110e8aa66","observation_id":"297e33b1-046c-471c-acf0-2b49c6c4978b","resolution":{"observed_at":"2026-08-14T13:06:57.380700Z","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":"2026-08-14T13:06:57.363607Z","title":"A review on multi-label learning algorithms","venue":null,"work_id":"b78c95e8-3306-4b51-9584-018e2f9b0abc","year":2014},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.246006Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:4d040418546c10a10008c3cd15eace3b586dbe850d43217d4ba50c784d8af40a","observation_id":"d125c826-f8b8-483c-b52a-49d79b28d508","resolution":{"observed_at":"2026-08-14T13:06:57.367873Z","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":"2026-08-14T13:06:57.349993Z","title":"Rotation-invariant image and video description with local binary pattern features","venue":null,"work_id":"07aed75c-e134-4ecd-81fd-5339674f1283","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.250168Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:4199d5f0e17ca1ddcba557874f0589dd11094946b6858365aa18f7f066f46443","observation_id":"aa51558a-99d4-4032-9680-e46d9ee98edf","resolution":{"observed_at":"2026-08-14T13:06:57.354669Z","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":"2026-08-14T13:06:57.336231Z","title":"Tracking using motion patterns for very crowded scenes","venue":null,"work_id":"1c33d30c-00b1-4e95-9ed0-1576ca8a5ae4","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.254684Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:eae88c9ad8d3d2fd24726adc8ae866e66d72f517685b6d22689dd3101f5fd1e7","observation_id":"6108ed2f-3c87-43e9-8830-590c744d945d","resolution":{"observed_at":"2026-08-14T13:06:57.340563Z","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":"2026-08-14T13:06:57.320935Z","title":"Coherent ﬁltering: detecting coherent motions from crowd clutters","venue":null,"work_id":"4c12288c-126c-4dd6-bef7-1c7696e66eae","year":2012},"citing_paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-14T13:06:57.258879Z"},"links":{"citing_paper":"/paper/1908.05877"},"observation_digest":"sha256:d4a82a53155f6a85f36c81d8330307ea23a3ac2862afe060d16c9f66e8b8ea23","observation_id":"3ace41cf-cdb3-4e2b-9473-6f7f5bcde50d","resolution":{"observed_at":"2026-08-14T13:06:57.327687Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.05877","last_updated":"2019-08-16T08:02:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T12:59:56.217119Z","submitted_at":"2019-08-16T08:02:48Z","title":"Zero-Shot Crowd Behavior Recognition"},"reference_resolution":{"displayed":58,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":6,"verified_exact":0,"verified_fuzzy":52},"total_outbound_references":58},"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 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:1908.05877."}