{"as_of":"2026-08-16T16:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9d14985f279c14c35c427c53579af219af29f02e93751d8e6b4b610bdb38e05c","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:22:43.089949Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"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/1908.01765/citation-record","integrity":"/paper/1908.01765/integrity","json":"/paper/1908.01765/citation-record.json","paper":"/paper/1908.01765"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.711868Z","title":null,"venue":null,"work_id":"d4a448ce-ca73-4f2c-91cd-28becbce4b30","year":2013},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.946431Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:a911f2ee16a1c63ab1475121b3c4e1788a6ec74bb1d61d58a9d575b4a61866a4","observation_id":"eb36d968-0461-413c-98f4-9c7a687ac079","resolution":{"observed_at":"2026-08-14T15:22:43.717109Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.692426Z","title":"[8] Facebook and Twitter have become indispensable tools for organizations, especially during times of disaster or crisis","venue":null,"work_id":"05257681-0e67-42e9-b633-4f960b650347","year":null},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.954065Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:2ae4c4ea7053a64e89cea5b4cf907a6d6479938d193c89dd040b0afcfcb96148","observation_id":"6e848882-b631-44e4-bc20-163801caa937","resolution":{"observed_at":"2026-08-14T15:22:43.698250Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.670303Z","title":null,"venue":null,"work_id":"a08e09f7-6f72-425e-bdf3-6860755a5cc4","year":2013},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.959455Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:4b3322125e43b85eb83b4b49e214be2b0b6915fd43ccf10a6f7f9adf62e645ca","observation_id":"101088ad-ae79-4b10-8678-0a05944dd63d","resolution":{"observed_at":"2026-08-14T15:22:43.677837Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.634463Z","title":null,"venue":null,"work_id":"b2648210-5c93-4c0b-a1df-41fd29846e1a","year":2013},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.969682Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:cf88ca98d1711a328df29ccade80a9c4c5d686aa675cc3ccc7619ad42a839b62","observation_id":"c2b15787-6ed7-4295-aa66-9e9ec7b6852a","resolution":{"observed_at":"2026-08-14T15:22:43.639632Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.614338Z","title":null,"venue":null,"work_id":"64a1a664-18d7-4d42-a067-e1b9edd56afd","year":null},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.975837Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:67002d54c757548d8288a8fc2af81c8f4b1bc9267c79fe1030408feadb4d1038","observation_id":"e37ca039-024d-4fd5-af03-226da90c3665","resolution":{"observed_at":"2026-08-14T15:22:43.619173Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.593549Z","title":"Nathaniel Oco and his team at National University for providing continuous support and advice in this study","venue":null,"work_id":"a6c80604-ce89-4c59-b9d9-83ca7daaa79d","year":null},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.982759Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:35f83c3642c1a4c588e521614743d1328598def7c8c8a9661a9bf5732094a6f6","observation_id":"0d6625cd-6144-449b-b461-2fae1b78fc8d","resolution":{"observed_at":"2026-08-14T15:22:43.602469Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.430876Z","title":"Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts","venue":null,"work_id":"6bb76329-e871-4911-91ad-18bc6aa86a32","year":null},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.018708Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:52b3c8396e2ece26a58396f0da41286262451af538c1309ac76f29b2521e95af","observation_id":"f127d105-2011-4d75-9e4f-54543e85a93a","resolution":{"observed_at":"2026-08-14T15:22:43.436323Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.574221Z","title":"(2017, July 19)","venue":null,"work_id":"50572b33-765d-481f-9cdd-bdd557cae5e6","year":2017},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.989435Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:197a20018dd6c0662b01b95dec0027fedfcd43a50affcf3c42b6948555388e3e","observation_id":"18999d68-bf7f-48db-8c09-264d1aec5a11","resolution":{"observed_at":"2026-08-14T15:22:43.579210Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.552173Z","title":"(2016, July 08)","venue":null,"work_id":"37d36a34-ced8-4d16-81db-89487c2ba672","year":2016},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.994173Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:c2fa728c1d0c3da2775e51c570624f41bcec8c97d178ecf474fd21a85ff5aaa5","observation_id":"9a44e239-f401-451f-98d0-a6495bf440b4","resolution":{"observed_at":"2026-08-14T15:22:43.560634Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.512761Z","title":"(2013, November 11)","venue":null,"work_id":"46a4d752-a379-4372-9d87-cc3495cc1b5f","year":2013},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.999447Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:51735a36ee810f707c621586caf718f172024fbfd5e28d0f6570d89091e50d6b","observation_id":"0ba0e186-dd95-4213-bf86-065d54d42cfc","resolution":{"observed_at":"2026-08-14T15:22:43.520473Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.492815Z","title":null,"venue":null,"work_id":"19d278f8-219a-41de-bae6-8c72a3392eea","year":2017},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.004829Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:4161970d0fef3606dc4365dafc67fc7f4fc98430d43a0706158e113133209e9f","observation_id":"e23aca17-c5c7-4c16-9eec-b23c65ed5d12","resolution":{"observed_at":"2026-08-14T15:22:43.497506Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.471778Z","title":"PLoS ONE 11(3): e0150190","venue":null,"work_id":"dcdcb302-b6b2-47d6-a2cb-0bbf9e816eb4","year":2016},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.009183Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:7134ecd1ad38398404939d2d305b0cedbd9e9014ec57f8c89b7dbf3fbceacf5d","observation_id":"10e928c8-8361-4951-a844-708b4bd3c861","resolution":{"observed_at":"2026-08-14T15:22:43.478385Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.450829Z","title":"Twitter Might Make Tweets Longer. Here’s Why They’re 140 Characters to Begin with","venue":null,"work_id":"fe80caf1-127d-4a55-9997-d075c86a06fd","year":2015},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.013365Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:a9e2f83baecfdd6184225e5a209e5b19817c5f4132e50474498adce27828a143","observation_id":"910bbc90-0ec1-4864-beb3-36d26a191953","resolution":{"observed_at":"2026-08-14T15:22:43.459282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.308512Z","title":"(2015, August 05)","venue":null,"work_id":"c269db0f-fde8-46a4-86b7-87b8d063f268","year":2015},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.056408Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:64b642ac893dff3b28d7324b7bfea1b3602b66766647b173fdddbe8acfeae204","observation_id":"4c6ba1ca-ae76-4c26-8de8-90a1ea32fa8d","resolution":{"observed_at":"2026-08-14T15:22:43.314087Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.411690Z","title":"Fire, Wind and Water: Social Networks in Natural Disasters","venue":null,"work_id":"fe4b0ceb-bcd7-4ef9-a55d-9c1afb3fe559","year":2011},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.024568Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:ed0bbcf6d56a1df86fdcc6b17f93b09932d3b7e268c5dd6946c12efac181c1be","observation_id":"ff3e55ed-7bc9-49cb-89f2-fe9d2bbaff3d","resolution":{"observed_at":"2026-08-14T15:22:43.416596Z","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":"2026-08-14T15:22:43.030232Z","title":null,"venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.030232Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:88201d41abcabc1b03f48b762dbcf1ad2bcfc1da77d34ab385147c24146ccdbb","observation_id":"0844a63f-f769-4ad1-9f6d-3547dd5fd3e2","resolution":{"observed_at":"2026-08-14T15:22:43.030232Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.386132Z","title":null,"venue":null,"work_id":"e0fdc2cb-ad9c-4850-a9c0-ddb3d8ed7c40","year":2012},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.035488Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:9a01a6d7880068f50e7a78469deff722ef428418c250e40aa3e56dd79d200462","observation_id":"480e2c64-05dc-4326-bc63-553682d54b0d","resolution":{"observed_at":"2026-08-14T15:22:43.394382Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.359739Z","title":null,"venue":null,"work_id":"ee8b40b6-cebb-4d3e-b5e3-1d9c035b9741","year":2016},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.040649Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:3e1eb148ecedfea3dd65a7deda126891eceefd861753d47e3aa4bc5990de89c6","observation_id":"dee29e97-8708-4734-9c1d-a70f970b01e9","resolution":{"observed_at":"2026-08-14T15:22:43.369272Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.341902Z","title":"Dropout:A simple way to prevent neural networks from overfitting","venue":null,"work_id":"ada5c380-7c0e-47be-8d3d-8bba78e7fd8b","year":2014},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.045771Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:35b6b68122d685046bc44515a411de2a47eea5eb8a87dbaa8153d9d9962506b1","observation_id":"ecefb347-819f-4769-8dc9-9befeef2f339","resolution":{"observed_at":"2026-08-14T15:22:43.348155Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.324960Z","title":null,"venue":null,"work_id":"fedded00-7655-415a-8d91-111d2f4b6b93","year":2002},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.050310Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:2ce9356ec26a8a9c996d001f92e6d2c0cf9a6d52b20dff8e134a51e0bff853f4","observation_id":"489620c3-8e62-403f-b252-ee9e6da4cf95","resolution":{"observed_at":"2026-08-14T15:22:43.330328Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.277422Z","title":"(2013, November 16)","venue":null,"work_id":"e5ea56dd-dd63-444f-9625-ebccf94e4093","year":2013},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.061279Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:7edc5973571a6d9422e3bac5cbdb6f38dadab894635ac11eb9058be31ee1456f","observation_id":"3968ca0d-9d86-4534-af5c-11dc0f1294ff","resolution":{"observed_at":"2026-08-14T15:22:43.288994Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.253963Z","title":"PH spends most time online and on social media – report","venue":null,"work_id":"594f8016-a3f8-4cee-8459-126629304228","year":2017},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.066780Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:765ca595914fbe0783a380f409937808c7db886bc0a224c683fce72e0d95b3eb","observation_id":"c4c050a2-2c69-4f81-8cd1-9175e3d764ad","resolution":{"observed_at":"2026-08-14T15:22:43.259461Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.235466Z","title":"Retrieved November 24, 2017, from https://www.brandwatch.com/blog/understanding-sentiment- analysis/","venue":null,"work_id":"8803dee8-b9b2-4eab-b20b-1c30ddef2ef6","year":2016},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.071807Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:6c6d20477ce6e0435ff31b01f0369397ac29c0f27bf67ec29286648c0545d253","observation_id":"d8e1b2ec-7900-4d53-b03a-0c57cbc03ba8","resolution":{"observed_at":"2026-08-14T15:22:43.242603Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.215403Z","title":"Retrieved November 21, 2017, from http://www.gmanetwork.com/news/scitech/science/334571/s uper-typhoon-yolanda-is-strongest-storm-ever-to-make- landfall-in-recorded-history/story/","venue":null,"work_id":"9d8674f9-ce94-4abe-b69b-c2377b3ddf1d","year":2017},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.077633Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:fc2e8f4964a70688ac659a5451b2255ff45bb6fd4ad88d3974ac44bfba06edd1","observation_id":"e3beb005-7ec0-4096-b4de-a6c36262faf8","resolution":{"observed_at":"2026-08-14T15:22:43.221755Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.188520Z","title":"Retrieved November 21, 2017, from https://www.omnicoreagency.com/twitter-statistics/","venue":null,"work_id":"8ad18321-c36d-477b-8a4a-2082d23fa440","year":2017},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.083647Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:41732afcb6cad1fc5fe25aa329829f574ba9e7fee9f4ead36b81dfda24f1ae64","observation_id":"7cd83ad7-9a37-4cc8-bea1-64161d355885","resolution":{"observed_at":"2026-08-14T15:22:43.198704Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.157690Z","title":"D., Burnett, E., Lamm, A., & Lucas, J","venue":null,"work_id":"a4485ba7-16ef-4dee-8e07-529cb8a6d51c","year":2009},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:43.089949Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:5b55679f7094a050ac8c1e06da792d0b78de625aa520981609fe483d590b83d6","observation_id":"bea26b5c-f8a7-4808-909e-ba0f816e93aa","resolution":{"observed_at":"2026-08-14T15:22:43.171819Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T15:22:43.649138Z","title":"3.2 Data Preprocessing Dataset that will be used should be cleaned to avoid inclusion of noise and unnecessary information during training","venue":null,"work_id":"b3579b75-8465-45c0-959f-598b316423ef","year":null},"citing_paper":{"arxiv_id":"1908.01765","last_updated":"2019-08-03T23:48:05Z","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T15:22:42.964816Z"},"links":{"citing_paper":"/paper/1908.01765"},"observation_digest":"sha256:604053b4012da3a6e16c8537b11ceec7f1d4d352570631ad7895c725e8f6c6c7","observation_id":"0961ab65-59c6-4aaf-bb0a-3adc185babe4","resolution":{"observed_at":"2026-08-14T15:22:43.656645Z","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":"1908.01765","last_updated":"2019-08-03T23:48:05Z","latest_version":1,"primary_category":"cs.NE","snapshot_observed_at":"2026-08-16T15:33:49.376682Z","submitted_at":"2019-08-03T23:48:05Z","title":"Sentiment Analysis of Typhoon Related Tweets using Standard and Bidirectional Recurrent Neural Networks"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":18},"total_outbound_references":27},"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 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:1908.01765."}