{"as_of":"2026-08-17T00:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2fbacbd470d7a2fd965026fb7b3d737c2953efa8415e85b8b6b676305a12508c","coverage":[{"denominator":24,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":24,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:51:50.515040Z","state":"measured"},{"denominator":24,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":24,"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/1908.08039/citation-record","integrity":"/paper/1908.08039/integrity","json":"/paper/1908.08039/citation-record.json","paper":"/paper/1908.08039"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:51:50.820911Z","title":"Neural machine translation by jointly learning to align and translate","venue":null,"work_id":"8f7e7017-2934-4c3b-8dfc-dfe528f53ba8","year":2015},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.423283Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:b83a462dde77e68d649562318f9910f7303e36f9dde858ac60acc33698639bf1","observation_id":"3889c9cf-d97f-4c3f-adb7-b3af1052848c","resolution":{"observed_at":"2026-08-14T11:51:50.826028Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-14T11:51:50.435837Z","title":"Bert: Pre-training of deep bidirectional transformers for language understand- ing","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.435837Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:49df1525250f751ac6519075e9a2be49e0500a676974b9a8cb591c87ccd72743","observation_id":"ec3bdf22-ae0b-4da1-8298-e709a55c4cae","resolution":{"observed_at":"2026-08-14T11:51:50.435837Z","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":"2026-08-14T11:51:50.771805Z","title":"Ups and downs: Modeling the visual evolution of fashion trends with one-class collaborative ﬁltering","venue":null,"work_id":"c8c99f23-9ca6-46af-a7cb-8d1f69b8d7e2","year":2016},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.444558Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:31a0c7bd263857dc5f16062339eeb01343e322c9ad94096d51310d8e2f155c9e","observation_id":"7f89d731-ad1b-4bf8-a274-e665e67f5b50","resolution":{"observed_at":"2026-08-14T11:51:50.776252Z","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":"2026-08-14T11:51:50.739744Z","title":"Toward controlled generation of text","venue":null,"work_id":"12c7bcec-82fc-4b71-aaf8-b94054dbe103","year":2017},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.457547Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:cfb4209e579f7c0643b09c3c2320e76f390a0073c33cc7d247b2d88b175c3a62","observation_id":"de936c73-f3d3-43e1-bffe-83294c211812","resolution":{"observed_at":"2026-08-14T11:51:50.743836Z","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":"2026-08-14T11:51:50.465385Z","title":"Convolutional neural networks for sentence classiﬁcation","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.465385Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:356bbd4ea7bd3be6776eaacb7236c6ef8661a16cded75432360db4ff24b5af82","observation_id":"3ef69479-34d3-42ac-bb45-3e4a98814b70","resolution":{"observed_at":"2026-08-14T11:51:50.465385Z","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":"2026-08-14T11:51:50.706421Z","title":"Delete, retrieve, generate: a simple approach to sentiment and style transfer","venue":null,"work_id":"a7077e9d-ad89-4799-ac40-629fc8af5b1f","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.469012Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:cad56315deff3ed1cd8f5208ab74851af4e14693ec8bc719ee40a8e5c3562faf","observation_id":"1222ddc6-45f9-4f8c-b19f-963c0320d4e8","resolution":{"observed_at":"2026-08-14T11:51:50.710882Z","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":"2026-08-14T11:51:50.692928Z","title":"Content preserving text generation with attribute controls","venue":null,"work_id":"e2876b1d-44fd-4660-8e44-2463898226c4","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.472729Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:fbac9eabc03f39cbfd1ea831c1083b81a44fe7c1a7eb22e576cee90a5af17586","observation_id":"bade45c4-c4e6-41e7-907c-d58f17658f22","resolution":{"observed_at":"2026-08-14T11:51:50.697552Z","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":"2026-08-14T11:51:50.680715Z","title":"Bleu: a method for auto- matic evaluation of machine translation","venue":null,"work_id":"c5fee5f6-8094-4d3a-baf8-aed19e6302bb","year":2002},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.476871Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:e92789e8167c7763533d7553b9e7b2032a25332fec19a2e218936a02fb3e54ce","observation_id":"f3359e47-ad9b-43be-b4e8-4a4c744dc927","resolution":{"observed_at":"2026-08-14T11:51:50.684788Z","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":"2026-08-14T11:51:50.657173Z","title":"Improving language understanding with unsupervised learning","venue":null,"work_id":"6b6a1a28-d8d3-4b61-b4aa-6ffc652aab15","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.484340Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:32222bf8b6d85d4b1cb9f7566e2a18fb375d1d54633002fef50c68df09e336f1","observation_id":"028103ab-5403-4c2c-8d02-349beaa2b329","resolution":{"observed_at":"2026-08-14T11:51:50.661159Z","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":"2026-08-14T11:51:50.645089Z","title":"Liu, and Christo- pher D","venue":null,"work_id":"d8c9bcb6-faf5-47d2-af69-5a55d5da8909","year":2017},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.488140Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:2a440c164ca0e7334a3319b3dccca2492dee4dc8ade7c407b81889ed2c7cd10a","observation_id":"084f8c48-69d4-4dc2-8ee6-24fd44fd6f15","resolution":{"observed_at":"2026-08-14T11:51:50.649038Z","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":"2026-08-14T11:51:50.632024Z","title":"Style transfer from non-parallel text by cross-alignment","venue":null,"work_id":"b5245dad-03aa-4593-9dd6-68a9eeff43cf","year":2017},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.492279Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:0a701eafcfb46903b65d72d71a583434f1fe4b9d34356402bd60805bb489623c","observation_id":"271806d2-ff62-4919-a4ec-d116e87f89eb","resolution":{"observed_at":"2026-08-14T11:51:50.636617Z","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":"2026-08-14T11:51:50.618908Z","title":"Sequence to sequence learning with neural networks","venue":null,"work_id":"39b87f27-9055-48ff-bc9b-4e32478a2b65","year":2014},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.495939Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:883abc3ed446a6f1fd3ea12eaad5efbe0ed0a17d5e7c5351f67b1c1e490df89c","observation_id":"08e21984-9967-4968-88de-739a290ba7ed","resolution":{"observed_at":"2026-08-14T11:51:50.623447Z","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":"2026-08-14T11:51:50.606570Z","title":"cloze procedure","venue":null,"work_id":"a9efa0e3-9ebe-4e33-9607-1197dbbb81b6","year":1953},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.499910Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:9578485c87feaf1b76e6a2c811e8fe86f8950c7a74bf6b3110b49809d42971a1","observation_id":"56cd9ab1-093a-4af2-a525-b2a7b95cb11b","resolution":{"observed_at":"2026-08-14T11:51:50.610514Z","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":"2026-08-14T11:51:50.582094Z","title":"Unpaired sentiment-to-sentiment translation: A cycled re- inforcement learning approach","venue":null,"work_id":"4b73188e-5c04-4ef8-80dd-51494b525204","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.507826Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:9ffab8488f0c67bb861d74ee56cf8c1ae0c287871170a82a13712602cbaf698d","observation_id":"e6186903-f46c-4c91-a246-d4bee965b009","resolution":{"observed_at":"2026-08-14T11:51:50.586871Z","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":"2026-08-14T11:51:50.566852Z","title":"Unsupervised text style transfer using language models as discrimina- tors","venue":null,"work_id":"070fb0d3-9e2f-47d8-8a6b-d1f8d5c0607b","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.511440Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:072d4477ddd7996b72fe7d0d5d55b01ae51878fd6f0c1e0a6046c3d93ad7e75f","observation_id":"143b5d8f-8c0e-43f8-b4b7-c217f418cdd9","resolution":{"observed_at":"2026-08-14T11:51:50.573113Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1901.00158","last_updated":"2019-01-18T17:55:36Z","snapshot_observed_at":"2026-08-14T17:36:14.185653Z","submitted_at":"2019-01-01T14:41:17Z","title":"Text Infilling","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1901.00158","snapshot_observed_at":"2026-08-14T11:51:50.515040Z","title":"Text inﬁlling","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.515040Z"},"links":{"cited_paper":"/paper/1901.00158","citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:f28cbeabcf003256ba84d59e7bcaf0625f68fbdf62ce0b60aa9fff9bbcf86eb1","observation_id":"a4a50c88-10c4-4a5e-8678-2f4304f3a8f4","resolution":{"observed_at":"2026-08-14T11:51:50.515040Z","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":"2026-08-14T11:51:50.594922Z","title":"Bow- man","venue":null,"work_id":"a8276fc1-b1f0-42eb-b7c3-04c95584a8c6","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":1953,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.503888Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:eea75573cbd8190a803367098fdc7da07707a40ad1508b0ac75679c5eff721bf","observation_id":"682e1fdd-4c2d-4775-bb8e-75ea3773323d","resolution":{"observed_at":"2026-08-14T11:51:50.598548Z","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":"2026-08-14T11:51:50.752171Z","title":"Universal language model ﬁne-tuning for text clas- siﬁcation","venue":null,"work_id":"ae77fc97-ca4c-4906-b5a2-13fde11536b4","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":1997,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.453131Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:08fe1928d227000019fe4b2475ef9c23964878924a536de9b37d6bf741cb38be","observation_id":"b0bcd539-194b-4541-b7e7-c69f1d0bca7e","resolution":{"observed_at":"2026-08-14T11:51:50.756469Z","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":"2026-08-14T11:51:50.668648Z","title":null,"venue":null,"work_id":"80462c54-5e50-4eef-a35a-f3416a80ba6a","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2002,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.480615Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:3f6d74766715f47bddd8f5edd43f61417946f8fbe286eb4432154e58dedda96d","observation_id":"b42b7017-4e92-4b77-ba11-e55a3f2a864f","resolution":{"observed_at":"2026-08-14T11:51:50.672819Z","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":"2026-08-14T11:51:50.796598Z","title":"Semi- supervised sequence learning","venue":null,"work_id":"c570b82e-111a-415e-847a-0f82be922cec","year":2015},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2014,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.431639Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:e8d17cc56c4ab5433f713c7cc6d29c62e307860113f870da648d581e9f25da5d","observation_id":"3687edbf-77ce-4b5c-9cf3-acdcdb77ec3c","resolution":{"observed_at":"2026-08-14T11:51:50.800923Z","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":"2026-08-14T11:51:50.808853Z","title":"Learning phrase representations using RNN encoder-decoder for statistical machine translation","venue":null,"work_id":"3011d1f5-ae73-4b8f-9e8b-3302612f74ae","year":2014},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.427664Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:2dc708830ed56463c22bfad82593cd46a6ddb036e262de6822065b53074620a0","observation_id":"3e949cfd-b86c-47bb-ab72-78d1da24951b","resolution":{"observed_at":"2026-08-14T11:51:50.813128Z","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":"2026-08-14T11:51:50.449039Z","title":"Long short-term memory","venue":null,"work_id":null,"year":1997},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.449039Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:e61ddcff3f2dfc63d369177c31df16d78951d74599280ae5866f17b5bb69a3a0","observation_id":"b0e0cbde-16c3-4ac8-b7b3-0f641668202d","resolution":{"observed_at":"2026-08-14T11:51:50.449039Z","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":"2026-08-14T11:51:50.726190Z","title":"Arbitrary style transfer in real-time with adaptive instance normalization","venue":null,"work_id":"82fc526f-e01f-47d8-af72-d925f062c503","year":2017},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.461824Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:2f3647b321d6c76274826c532c50cadb708c5f759815e18d01085111e0181fd7","observation_id":"8d63077e-30ca-4d39-b038-1e27fedd0de9","resolution":{"observed_at":"2026-08-14T11:51:50.730943Z","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":"2026-08-14T11:51:50.784486Z","title":"Style transfer in text: Ex- ploration and evaluation","venue":null,"work_id":"9b42f08f-f1fd-4471-8bc9-838b7d1561a3","year":2018},"citing_paper":{"arxiv_id":"1908.08039","last_updated":"2019-08-21T23:12:36Z","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T11:51:50.440311Z"},"links":{"citing_paper":"/paper/1908.08039"},"observation_digest":"sha256:aa899d99b81029001a47687b6113da593305d27b551cd3f45de1722c052555f0","observation_id":"88207c91-617f-4c78-98ee-750eddcb2b6b","resolution":{"observed_at":"2026-08-14T11:51:50.788725Z","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":"1908.08039","last_updated":"2019-08-21T23:12:36Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T18:18:47.343891Z","submitted_at":"2019-08-21T23:12:36Z","title":"\"Mask and Infill\" : Applying Masked Language Model to Sentiment Transfer"},"reference_resolution":{"displayed":24,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":5,"verified_exact":0,"verified_fuzzy":19},"total_outbound_references":24},"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 17 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:1908.08039."}