{"as_of":"2026-08-18T02:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cf892efe96f408f4b3425545fb9d529e92b324a6f41067dc37aa6389ef2f3f02","coverage":[{"denominator":38,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":38,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:46:51.747373Z","state":"measured"},{"denominator":38,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":38,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/1908.06552/citation-record","integrity":"/paper/1908.06552/integrity","json":"/paper/1908.06552/citation-record.json","paper":"/paper/1908.06552"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.958180Z","title":"Action search: Spotting actions in videos and its application to temporal action localization","venue":null,"work_id":"acfcfea2-828c-4002-a1d5-ffc6813482d5","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.281410Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:b5ea5dd6578f2e041ff2a28faf2bdc53e72143765c8c0a2863205de8db74dfd6","observation_id":"ed5fd4fb-2cc1-4b18-9a52-ac494d558dd6","resolution":{"observed_at":"2026-08-14T12:46:54.188358Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.878932Z","title":"Sst: Single-stream tem- poral action proposals","venue":null,"work_id":"ba954624-0255-494d-856f-201fcfe93d00","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.292826Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:a22f371421acb8fce952e79c32914f8a399fa9800071f49f0012ed805c3e6599","observation_id":"cebec882-1ada-4ac9-a9d4-4a571b3eec00","resolution":{"observed_at":"2026-08-14T12:46:53.923551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.846202Z","title":"What do i annotate next? an empirical study of active learning for action localization","venue":null,"work_id":"ea336bb5-fd0f-4f08-a8a2-8cb47596d35e","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.302768Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:3adeee46bc6f30c508ac0dec9ed05e0aa12cd23acdf47eca3f22b6922399dc36","observation_id":"65d07932-4cc5-4d70-a7a5-681024450eee","resolution":{"observed_at":"2026-08-14T12:46:53.856902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.811181Z","title":"Re- thinking the faster r-cnn architecture for temporal action lo- calization","venue":null,"work_id":"6e4585b7-1007-4d93-ac9d-40f9bf9306f9","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.324631Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:57259a0acb3c679272ae1e686dcfeab96d22d9eb29832a9288ec8dd042b5580a","observation_id":"bc510369-f196-43e2-af1a-0613dd9de428","resolution":{"observed_at":"2026-08-14T12:46:53.820854Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.747161Z","title":"Temporal context network for activity local- ization in videos","venue":null,"work_id":"f82bc16f-6b3a-49e0-8ca5-ec02f5ace382","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.331948Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:1b42fbc184a81e29d4e8d1220ebb16ecb155db48e1a56311b4872b14b629f1e0","observation_id":"878c4ccb-e5fc-4885-beab-87c2ad0678e8","resolution":{"observed_at":"2026-08-14T12:46:53.774075Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.702926Z","title":"DAPs: deep action proposals for action understanding","venue":null,"work_id":"96fed425-f777-472e-aecf-c3ce7c0ebcde","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.339455Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:c0a62acaca6c6e2143d71359b72bec4368625152e950b7a9460b70d3d9dbd463","observation_id":"646bb498-a160-4320-a7d6-701699f55149","resolution":{"observed_at":"2026-08-14T12:46:53.712488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.654562Z","title":"Daps: Deep action proposals for ac- tion understanding","venue":null,"work_id":"04a215a5-5fd4-42cd-a6a6-aa5b3ba67846","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.350307Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:034edb50e639643a8a8cafec39935b5dc2a61f1929f78d8dfd34f8aaa08f810f","observation_id":"93a2f3d2-7f39-4677-af0c-4972a7ee330c","resolution":{"observed_at":"2026-08-14T12:46:53.665950Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.623695Z","title":"Two-frame motion estimation based on polynomial expansion","venue":null,"work_id":"05d81170-b06e-4f44-bda3-59b73a048b6d","year":2003},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.356510Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:dee0734fd563bb2e6e5bf2d4bbbd6e001a12ca1237b9a024a52f3aa74d3ddf78","observation_id":"4f3261af-4fe4-4c94-a7df-03ff3c38b0b7","resolution":{"observed_at":"2026-08-14T12:46:53.631868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.582736Z","title":"The discriminant center-surround hypothesis for bottom-up saliency","venue":null,"work_id":"a796c6af-410a-4a76-ab41-f9ff6e4e0d96","year":2008},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.363507Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:582ba58f8bf56030c3467e6be9db4c7ea1c3caa162040dd9d180f4267241d702","observation_id":"cb424851-a94a-4dd9-9080-f7ddfd7238d4","resolution":{"observed_at":"2026-08-14T12:46:53.595526Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.557116Z","title":"Cascaded boundary regression for temporal action detection","venue":null,"work_id":"bd2f9b0e-a22c-4dab-a8ca-d211f19c8f3b","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.374585Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:0b17553137ef90ae9af7f6e74112b466ea5dea410eb4e3e8f1ef54f70508a6f6","observation_id":"101427ce-85d2-4351-94b6-48acfc2f6779","resolution":{"observed_at":"2026-08-14T12:46:53.563631Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.525925Z","title":"Turn tap: Temporal unit regression network for tem- poral action proposals, 2017","venue":null,"work_id":"161f02a7-6995-4be4-8e1f-c00c190f1c85","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.381581Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:541753d99ebf07471fd60167982177bf27b6f7afba01bbd7febbe381cbccddde","observation_id":"3f291c42-22d2-4724-a237-deb3972e05bd","resolution":{"observed_at":"2026-08-14T12:46:53.536359Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.443850Z","title":"Ava: A video dataset of spatio-temporally localized atomic visual actions","venue":null,"work_id":"603f290f-fe44-4726-99be-b07da9226f0e","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.389891Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:4315e87ad7bab231d92cf14d26cafd408b4accb5f7dd16319ca6b5c1f3ae7fcf","observation_id":"edb77e67-271a-47e9-b2d5-1712bc913943","resolution":{"observed_at":"2026-08-14T12:46:53.464825Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.392994Z","title":null,"venue":null,"work_id":"b196988c-51f8-4b99-8ff7-60fb4e0bd1ca","year":2015},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.409834Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:de2b4ad8cbae665b48712261a27aae5c2db6555c99d4161f1ba412da13785f57","observation_id":"ea4caf6f-b86e-4c76-a1c1-6c3f57f7f13f","resolution":{"observed_at":"2026-08-14T12:46:53.405600Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.336535Z","title":"Fast temporal activity proposals for efficient de- tection of human actions in untrimmed videos","venue":null,"work_id":"43cea1ed-bd9e-4aec-a225-ba973b155b58","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.416357Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:72c2069d3b5b0ee1c4fde8d6a910ea2196b030639e15dcfaa4c53c86386b2fc8","observation_id":"1d02f12d-9a79-4366-bcb4-80190622c1cd","resolution":{"observed_at":"2026-08-14T12:46:53.351872Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.220677Z","title":"Jiang, J","venue":null,"work_id":"977833f4-67b3-42e7-a054-bed1b77d3f9e","year":2014},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.423382Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:d4012b7b1a25edc5bc73d8afd7596d7bc568bddab2e8d474c353d24dce2456d4","observation_id":"e88cae21-0732-4f93-bd07-c8909108e770","resolution":{"observed_at":"2026-08-14T12:46:53.287319Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.139992Z","title":"Learning flexible sprites in video layers","venue":null,"work_id":"009d606e-093c-40dc-88bf-a437b42006fe","year":2001},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.430072Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:73d62afc220658f5e3df5bec555c67fa566f9bb5bb4e6188bafd41190696ac3c","observation_id":"0c08dcdf-fce6-43a3-b91a-020c40ea5a3e","resolution":{"observed_at":"2026-08-14T12:46:53.161482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.06950","last_updated":"2017-05-19T12:07:01Z","snapshot_observed_at":"2026-08-15T11:35:18.832923Z","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":"2026-08-14T12:46:51.439613Z","title":"The kinetics hu- man action video dataset","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.439613Z"},"links":{"cited_paper":"/paper/1705.06950","citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:7da3fb3ffb92a393a0c18ed1b748614fe45cc7b97027a0521f95a5d7abafe04d","observation_id":"5f004e82-d450-49e8-9e15-8af2c1d4cc5b","resolution":{"observed_at":"2026-08-14T12:46:51.439613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.099655Z","title":"Temporal activity detection in untrimmed videos with recurrent neural networks","venue":null,"work_id":"097b4c89-ba5d-4ee6-aab4-84aca691340a","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.452087Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:8178c80c87627c8d36eb34951191e0009655f848eb82a5d472c6432c93f835f2","observation_id":"ff469560-e161-4c81-852e-b9e909116129","resolution":{"observed_at":"2026-08-14T12:46:53.115833Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:53.014817Z","title":"Weakly supervised action localization by sparse temporal pooling network","venue":null,"work_id":"a9bc57f4-575a-4d0d-a458-74a4475de66a","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.462982Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:b92d2a40317d9cf6f1246f70e13dc672cb279791499dfe4ccbbe96d40b1aff92","observation_id":"584ad1b6-69fb-4c7b-927f-cba695751c4e","resolution":{"observed_at":"2026-08-14T12:46:53.028323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.984817Z","title":"The open world of micro-videos","venue":null,"work_id":"75a02910-bba9-41ae-8637-557964be0aa8","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.473657Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:533b33b9642672b3fe22d04ed8a33ade1fed7b64e9528f3fe3f6f02448aeebf0","observation_id":"79f81ade-a389-4861-a245-0b8517b3e5db","resolution":{"observed_at":"2026-08-14T12:46:52.991301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.901484Z","title":"W- talc: Weakly-supervised temporal activity localization and classification","venue":null,"work_id":"108ab12f-1ca2-499d-8894-401b6ecf5b7f","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.490807Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:28cbe888eaaababff7aa45e0676f7a3c7bbe7245f5ea4fd94686889afd024600","observation_id":"4d01aaad-ad3a-4f08-bc2b-857423ff1536","resolution":{"observed_at":"2026-08-14T12:46:52.919914Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:51.515284Z","title":"Faster r-cnn: Towards real-time object detection with region proposal networks","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.515284Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:940958872448ea8870fed7bed9c34fc3114f5652d1e51e1454c212d8f8c1d845","observation_id":"1f0ab473-7265-41de-b3cd-e22029765427","resolution":{"observed_at":"2026-08-14T12:46:51.515284Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.833315Z","title":"Temporal action detec- tion using a statistical language model","venue":null,"work_id":"6e04121d-b276-49a1-ba28-927825d966e5","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.525335Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:3c753a0b3cc5d75a4c71d642af2701597254489ed51fe91efcfd4e899a91d1ad","observation_id":"f11a4911-d95c-488a-808a-9527a55d0195","resolution":{"observed_at":"2026-08-14T12:46:52.852874Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.739444Z","title":"CDC: convolutional-de- convolutional networks for precise temporal action localiza- tion in untrimmed videos","venue":null,"work_id":"040ba588-c050-46a8-884e-ae58b9d39f63","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.539067Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:0b2c858a0b8d842b01c035242fe9eb1cffe3e475f9485ae768d80da875fcdd49","observation_id":"f358de53-ea47-4775-ae3d-a8589df63311","resolution":{"observed_at":"2026-08-14T12:46:52.758875Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.667693Z","title":"Autoloc: Weakly-supervised temporal action localization","venue":null,"work_id":"bc0763c1-6530-4143-af5a-fa1d6eb8998f","year":2018},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.556238Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:6593de0d96f2a4262567597da01e3a13f202933bf890127d719a8587103853a8","observation_id":"32a7ba76-7d2a-452e-b872-37a29cc407ed","resolution":{"observed_at":"2026-08-14T12:46:52.703122Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.632781Z","title":"Temporal action localization in untrimmed videos via multi-stage cnns","venue":null,"work_id":"7b7646b4-77f0-406f-9d1f-340f35618e7d","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.582374Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:825c79a38c8c3e460d6b6f78cc90b64fae4b3977505223a077e15d4b4a9c2f99","observation_id":"5df19318-97ff-4660-a1ea-b765383dbbd6","resolution":{"observed_at":"2026-08-14T12:46:52.646044Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.573062Z","title":"Sigurdsson, G ¨ul Varol, Xiaolong Wang, Ali Farhadi, Ivan Laptev, and Abhinav Gupta","venue":null,"work_id":"fcd06f57-30d8-4e6c-83b9-28f269ab589c","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.604585Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:cf4cda74db44d88d9403b2a3e4e33e55d2ef03e2cddf4cf9fa51bb221c3bf02e","observation_id":"dd369cf6-0e94-42ed-a4e1-351afd4c8b31","resolution":{"observed_at":"2026-08-14T12:46:52.586850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1607.01979","last_updated":"2016-07-12T22:53:46Z","snapshot_observed_at":"2026-08-14T21:49:24.914367Z","submitted_at":"2016-07-07T12:08:04Z","title":"Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge","version":2},"cited_work":{"arxiv_id":"1607.01979","doi":null,"metadata_source":"pith","pith_arxiv_id":"1607.01979","snapshot_observed_at":"2026-08-14T12:46:51.857965Z","title":"Untrimmed Video Classification for Activity Detection: submission to ActivityNet Challenge","venue":"cs.CV","work_id":"c0ce0e48-b707-4d82-9632-32158924e8ed","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.612053Z"},"links":{"cited_paper":"/paper/1607.01979","citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:437f0a5272cbd1745db07134b1b6ad3bf8e8deead3f8604891284c043abb78f5","observation_id":"bed76c72-9d8b-4b91-8a14-b86631632cfb","resolution":{"observed_at":"2026-08-14T12:46:51.880441Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.525989Z","title":"Hide-and-seek: Forcing a network to be meticulous for weakly-supervised object and action localization","venue":null,"work_id":"8690fa84-b3e4-412e-bcd3-8d90a1d2b30d","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.620768Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:66f32ac5db406557bf817a0a3ae7e3e984af8ceed912db68a53f9e9f1adc1439","observation_id":"ef186b04-04ec-4310-8d03-8591c706a8ad","resolution":{"observed_at":"2026-08-14T12:46:52.540271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.470908Z","title":"Untrimmednets for weakly supervised action recognition and detection","venue":null,"work_id":"be129911-1ac0-4d9e-8290-b9d0bbddaf64","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.638496Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:f3329922a7406a4508c9dd368d2fd3e622978be4f62625c5a4781f103c041704","observation_id":"c42d3c48-5a9e-439b-9340-47466eca1124","resolution":{"observed_at":"2026-08-14T12:46:52.485787Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.412022Z","title":"Wang and D","venue":null,"work_id":"6f3e2c23-6d13-4e99-a6db-bcb8934ad01f","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.648844Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:3121d2afcff450e013e443b3626955e2dc3f496ecc37bd03653ff550e3e8ca39","observation_id":"27191292-c4b6-454c-8a43-5be73016f40e","resolution":{"observed_at":"2026-08-14T12:46:52.437108Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.361218Z","title":"R-C3D: region convolutional 3d network for temporal activity detection","venue":null,"work_id":"f0f25d67-aab6-4411-83af-cb809086be82","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.685786Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:647024b1d1edaded95c617a62036f7e920b36d25c4689c318a580edc863102f4","observation_id":"05741040-13f2-4d55-9bd0-f18aa6e90db0","resolution":{"observed_at":"2026-08-14T12:46:52.380335Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.299278Z","title":"R-c3d: region convolutional 3d network for temporal activity detection","venue":null,"work_id":"daba4eaf-7bfd-4138-9788-625986141514","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.695931Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:813fa1f1820393d60f94b42404e7d8d3e1bedb9cba94b7036c1b30af61e0c569","observation_id":"f9ba8c40-e4e4-4f64-a3aa-f56096b94887","resolution":{"observed_at":"2026-08-14T12:46:52.310228Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.245802Z","title":"End-to-end learning of action detection from frame glimpses in videos","venue":null,"work_id":"362d5c9a-5d10-4900-bcdc-b05c286d15b7","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.701755Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:73e10f5e57a372645ae3419b7403416328c89a38ec24f33b1cf529bc3bced025","observation_id":"dc813c22-8417-40ec-b6c1-fe47f3aef96f","resolution":{"observed_at":"2026-08-14T12:46:52.260494Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.170082Z","title":"Temporal action localization with pyramid of score dis- tribution features","venue":null,"work_id":"39b862a7-4100-43e3-b6d2-2de2a7fc2400","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.708542Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:90718304f51073a732bbb5cecdd57522fd062bb5972a06503a84473cfd79b19d","observation_id":"6c2f770b-e86b-4445-8a26-338355c5e3ee","resolution":{"observed_at":"2026-08-14T12:46:52.191764Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.076385Z","title":"Temporal action localization by structured maximal sums","venue":null,"work_id":"39fa407d-3d24-403a-8890-14cf223ec607","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.713883Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:929a55383b917342ac9283431f60d46888390a0de4ce1b7d548d6d0a6560aaa0","observation_id":"423b1ae8-f829-43ba-a788-097394784814","resolution":{"observed_at":"2026-08-14T12:46:52.127959Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:52.021983Z","title":"Temporal action detection with structured segment networks","venue":null,"work_id":"82b5d070-3436-4dd8-976e-a3a02f8712eb","year":2017},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.727380Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:ad6077dbbcb6223551869bcff4a3d9d752d78c3faee2da7bb0ab2ba1d5a51906","observation_id":"c3f3ca02-c42a-410d-88c6-3a6d07e2f358","resolution":{"observed_at":"2026-08-14T12:46:52.030423Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:46:51.978220Z","title":"Learning deep features for discrimi- native localization","venue":null,"work_id":"4bcb4747-51f4-4951-a0a1-2bcddb1eced1","year":2016},"citing_paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-14T12:46:51.747373Z"},"links":{"citing_paper":"/paper/1908.06552"},"observation_digest":"sha256:1e3ca8131bf7503ee12f701f055e30e537bfaf61a77b3b5b0eb5b86a71e4e4e0","observation_id":"8d44a04f-90d1-475a-9efe-bd5e94de25be","resolution":{"observed_at":"2026-08-14T12:46:51.987704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.06552","last_updated":"2019-08-19T01:33:14Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-15T22:03:53.075842Z","submitted_at":"2019-08-19T01:33:14Z","title":"Weakly-supervised Action Localization with Background Modeling"},"reference_resolution":{"displayed":38,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":1,"verified_fuzzy":34},"total_outbound_references":38},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:1908.06552."}