{"as_of":"2026-08-16T04:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77ef8438bc59752c8850e9bf4c57ec528fd954d04a0501908a44300011fad04f","coverage":[{"denominator":21,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":21,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:49:05.538815Z","state":"measured"},{"denominator":21,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":21,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+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/1908.09919/citation-record","integrity":"/paper/1908.09919/integrity","json":"/paper/1908.09919/citation-record.json","paper":"/paper/1908.09919"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:49:05.820009Z","title":null,"venue":null,"work_id":"2f3a8310-e6cb-4092-ad7e-aff9610706e0","year":2013},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.448014Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:46535ffa6ff201a6e195a3211bbf56d7f07c0d432bd858bb73ca056ffac2b668","observation_id":"b16a898a-5d64-4b31-a087-a50dc787d9dd","resolution":{"observed_at":"2026-08-14T11:49:05.824311Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.807774Z","title":"Koppel, J","venue":null,"work_id":"c44f143e-9ba9-4679-8d0a-92c95044bb99","year":2009},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.454794Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:f3f7ac07657ab8eb56acdaac529ed33dcc76ac53ff4e63fd9fd1a6e20a1cbbf0","observation_id":"b556d4a8-1cc7-46f1-99ba-8bc09e96e30e","resolution":{"observed_at":"2026-08-14T11:49:05.812326Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.795556Z","title":"Cho, and Y","venue":null,"work_id":"3480bfe8-9161-4851-bb30-17eb6a1b7679","year":2014},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.459570Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:d4b9431e6eb8d2ffbe10f4c48f00e86f64490d06f7e6ba8e56007b0cc48bad8f","observation_id":"278ee5a1-761d-4461-af00-5463210b2470","resolution":{"observed_at":"2026-08-14T11:49:05.800399Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.783410Z","title":"G \\\" u l c ehre, K","venue":null,"work_id":"1c05e87a-3119-4271-a271-81928acddfb0","year":2014},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.464321Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:b6b1195464511a5891c50ca7e742b1b29b5593824bf37e15198a265668d8659e","observation_id":"33327e4d-78be-45b3-9ec6-e7b787d2aa19","resolution":{"observed_at":"2026-08-14T11:49:05.788034Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.771217Z","title":null,"venue":null,"work_id":"2d244cf3-20be-4a2a-af1e-c6d87b354245","year":2008},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.468813Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:6108764a02d64b9c06b25697b07037fb9a2fd869e23bdae3fb921fc59fb73497","observation_id":"2d9437bd-95d2-4d8c-9dd0-917b1ab6eefb","resolution":{"observed_at":"2026-08-14T11:49:05.775587Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.758327Z","title":null,"venue":null,"work_id":"4185749f-7914-4f81-afbf-ad8d437dc33d","year":2018},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.473744Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:6bebed8dded14b6046beaeb30c1e6bcf1e2027dae8ea48d1b154af00d7d4cd3a","observation_id":"b1224edc-c7ae-4d52-b047-1b014158d218","resolution":{"observed_at":"2026-08-14T11:49:05.763044Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.745939Z","title":"Miller, B","venue":null,"work_id":"545df551-5598-4ed0-a27e-89adee0a6654","year":2012},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.478756Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:96392e11dc55ff1532f089454c9eafc400f5552605018f0b96aee7a3f83b2335","observation_id":"cdffac04-11aa-4758-b52d-f58a8e34fd9a","resolution":{"observed_at":"2026-08-14T11:49:05.750347Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.733839Z","title":null,"venue":null,"work_id":"e9b2fa55-7a71-43eb-b216-e7d077929336","year":2017},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.483028Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:dce78ac951afa069e774a03277934486f363f18f9cf96624d40b94ff879399cc","observation_id":"694ab553-03a1-4f52-960f-5816664019d7","resolution":{"observed_at":"2026-08-14T11:49:05.738111Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.720837Z","title":null,"venue":null,"work_id":"186a1e09-0e09-470c-80d9-1aa3be30b241","year":2014},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.486947Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:9ab6eed1a10586950b4894b95d1fd0688b5a6f325481cd0dc9d2982560ebdbe5","observation_id":"005e4ad7-1ab3-484e-adec-4999ffa99fd9","resolution":{"observed_at":"2026-08-14T11:49:05.725588Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.707346Z","title":"Hardegger, S","venue":null,"work_id":"f4495da3-314c-41bf-b58a-1332bb9a38d6","year":2017},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.491074Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:55fef2df1546a4ff47bccfdbcd546744960f94bea31c051e62589cf88ecdaf69","observation_id":"a914eb7b-4215-4aee-b435-3f6782b43712","resolution":{"observed_at":"2026-08-14T11:49:05.712271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.694892Z","title":null,"venue":null,"work_id":"5a7fa511-75aa-4add-9bba-7359c8e33473","year":2006},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.495441Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:a3b2fcf3157e7f22cf892be60fe2ab77f1fdbbc3a02aa75885f28db089311472","observation_id":"1bc9c305-edce-4876-9724-74e6f6db7919","resolution":{"observed_at":"2026-08-14T11:49:05.699481Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.682046Z","title":"Fi s er, and T","venue":null,"work_id":"5246b2ae-35e2-4e75-98f1-453353859fc5","year":2017},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.499656Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:2b5d20fbccc667fb35bdd304e32b5d1c2c9ec7448a392fb82b30f3a537987069","observation_id":"f5f92232-44d8-4613-955b-473b7313b3bc","resolution":{"observed_at":"2026-08-14T11:49:05.686702Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.669194Z","title":"Dickinson, and W","venue":null,"work_id":"bcc8df79-2750-4c08-a41c-465003a9da68","year":2012},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.503877Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:8648ddb10db5eb35e8d59556f6f2d6bbef42c1e0f67cb246003db12e043796a8","observation_id":"925889b6-cbf0-48fa-bbe6-c8445df9b01a","resolution":{"observed_at":"2026-08-14T11:49:05.674049Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.655526Z","title":null,"venue":null,"work_id":"b24cbc1d-a53c-4df8-82ec-1b4440822649","year":2018},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.508212Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:f38bc3e2af5ebb300cc49497cd735c4fe8251f85bc7a7edc4f1f5e59ef539244","observation_id":"9f82aec5-7213-4ef4-bd75-e7e1c681d294","resolution":{"observed_at":"2026-08-14T11:49:05.660549Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.512258Z","title":"Socher, and C","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.512258Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:fd095a734ed48c16543156250e7140f4f543987ccff3e1e197ba2cf9602a84ad","observation_id":"dd94df0e-a640-404f-8f00-a73ee73e9da6","resolution":{"observed_at":"2026-08-14T11:49:05.512258Z","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":"2026-08-14T11:49:05.634391Z","title":null,"venue":null,"work_id":"bde5b452-d30c-4f54-9a4a-6e843dc2c77b","year":2016},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.516043Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:5ecf2103bc46f13b5e4fb1acaaddb8aae2fa84dd9016fa9d67948d781d8eccf5","observation_id":"e9ebe307-0c6e-4284-b743-ee6d6a46c0db","resolution":{"observed_at":"2026-08-14T11:49:05.639337Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.621413Z","title":"Polatbilek, O","venue":null,"work_id":"975a825e-2d61-41d0-9de8-3a906924f312","year":2018},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.520071Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:1ec7c184e896af731004776a2a9fde1ad6d0d32799681eb9f7519c50bf5048eb","observation_id":"ac14f8c7-d6fd-4a18-96cd-f119f399850a","resolution":{"observed_at":"2026-08-14T11:49:05.625958Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.609277Z","title":"Polatbilek , and S","venue":null,"work_id":"b0531ce6-e64e-42f2-8ef7-8d39e4242af3","year":2019},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.524498Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:17783258d5f101ddeadc8e30f10b2e62855e632ab72c9ba853cdff96e8033955","observation_id":"8b526fed-307a-4c0e-8b01-f643b8f3a5cb","resolution":{"observed_at":"2026-08-14T11:49:05.613624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.596302Z","title":"Polatbilek, and S","venue":null,"work_id":"1d5c7684-fcf3-4e61-b10e-e19c5b59a011","year":2019},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.529948Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:86267a18c4fb60c6d59abed10e656c8159f2a273d125c087fb706aa40192677c","observation_id":"38627420-ad7c-4098-bb71-159d6533e07f","resolution":{"observed_at":"2026-08-14T11:49:05.600852Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.583428Z","title":"Tahara, K","venue":null,"work_id":"ea397afd-f304-430d-b663-fe7541a44ac2","year":2018},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.534339Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:4b07def91d692d2eefbda1a847db7cc147cacd642140eae88969e431d831af1f","observation_id":"f650a1e0-588c-46f3-abd3-95a3a40e2407","resolution":{"observed_at":"2026-08-14T11:49:05.588232Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+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":"2026-08-14T11:49:05.566950Z","title":"Ljube s i \\' c , I","venue":null,"work_id":"a74d4ea8-5b47-41a9-8845-d90b7bdf745a","year":2018},"citing_paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-14T11:49:05.538815Z"},"links":{"citing_paper":"/paper/1908.09919"},"observation_digest":"sha256:17c4ebb5ca5e250c8375d91254ea2673fd7f040b2e142331d3511be1c95d0aad","observation_id":"08e43c87-8713-4f71-aabd-219c7063764a","resolution":{"observed_at":"2026-08-14T11:49:05.574307Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09919","last_updated":"2019-09-06T10:27:36Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T02:25:28.442056Z","submitted_at":"2019-08-22T07:36:48Z","title":"Gender Prediction from Tweets: Improving Neural Representations with Hand-Crafted Features"},"reference_resolution":{"displayed":21,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":9,"verified_exact":0,"verified_fuzzy":12},"total_outbound_references":21},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.09919."}