{"as_of":"2026-08-21T15:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:23c8ad723c475d2f5fd81d6e7f673ad45f967bb3aeecafadaa43130dcdd80c1f","coverage":[{"denominator":12,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":12,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T05:52:27.247205Z","state":"measured"},{"denominator":12,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":12,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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/1909.00599/citation-record","integrity":"/paper/1909.00599/integrity","json":"/paper/1909.00599/citation-record.json","paper":"/paper/1909.00599"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1611.01462","last_updated":"2017-03-11T19:13:52Z","snapshot_observed_at":"2026-08-20T11:26:06.675714Z","submitted_at":"2016-11-04T17:36:20Z","title":"Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1611.01462","snapshot_observed_at":"2026-08-14T05:52:27.200833Z","title":"arXiv preprint arXiv:1611.01462","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.200833Z"},"links":{"cited_paper":"/paper/1611.01462","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:1226b70da12d5cf8d0ac039f1a4143f0f1a6110b1f101a6212936ade7c7068de","observation_id":"83bb46d5-03d5-4dba-94c3-2785ddbbeaa0","resolution":{"observed_at":"2026-08-14T05:52:27.200833Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1712.05902","last_updated":"2017-12-16T04:28:14Z","snapshot_observed_at":"2026-08-20T11:25:31.203749Z","submitted_at":"2017-12-16T04:28:14Z","title":"NSML: A Machine Learning Platform That Enables You to Focus on Your Models","version":1},"cited_work":{"arxiv_id":"1712.05902","doi":null,"metadata_source":"pith","pith_arxiv_id":"1712.05902","snapshot_observed_at":"2026-08-14T05:52:27.296397Z","title":"NSML: A Machine Learning Platform That Enables You to Focus on Your Models","venue":"cs.LG","work_id":"9eb64ed2-97c4-40db-aef3-4feaac1fc57d","year":2017},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.238625Z"},"links":{"cited_paper":"/paper/1712.05902","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:58c57b791811bb152b97c376c762c3a6ae09af3abc870f1f889fd762508ba74e","observation_id":"531332a9-d17d-460a-8359-b8ba1f83a023","resolution":{"observed_at":"2026-08-14T05:52:27.303249Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1609.08144","last_updated":"2016-10-08T19:10:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2016-09-26T19:59:55Z","title":"Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.08144","snapshot_observed_at":"2026-08-14T05:52:27.247205Z","title":"In Proceedings of the 34th International Conference on Machine Learning-Volume 70, pages 3674–3683","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.247205Z"},"links":{"cited_paper":"/paper/1609.08144","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:bcee47ce4389e076c2c9a6099f0d5c2edf1d897647fc43fa9ceb1493cee7065f","observation_id":"0a942311-2968-4fdc-8160-e12b8f262da1","resolution":{"observed_at":"2026-08-14T05:52:27.247205Z","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":"2026-08-14T05:52:27.418849Z","title":"Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin","venue":null,"work_id":"3a74e816-b58b-426c-8436-6d4e78c098cb","year":2017},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":152,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.243012Z"},"links":{"citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:265ae1f305cfce81378b0404774fcf775b6bf2da4626f5837e5c39f2dcebf846","observation_id":"84f8bcfa-70c4-47ff-966b-6f628acea269","resolution":{"observed_at":"2026-08-14T05:52:27.423441Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01700","last_updated":"2016-10-13T03:26:43Z","snapshot_observed_at":"2026-08-20T11:25:24.399719Z","submitted_at":"2016-06-06T11:43:28Z","title":"Gated Word-Character Recurrent Language Model","version":2},"cited_work":{"arxiv_id":"1606.01700","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.01700","snapshot_observed_at":"2026-08-14T05:52:27.346849Z","title":"Gated Word-Character Recurrent Language Model","venue":"cs.CL","work_id":"b9c61f25-a5a6-4f9e-9304-329882bfeb88","year":2016},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":1058,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.224392Z"},"links":{"cited_paper":"/paper/1606.01700","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:69d69f067aae8969c5fafa2bd551cbf8e80741f165f14bf5f32ebe078e15e8ab","observation_id":"1433efd6-9a94-4eec-928a-361f62831c6b","resolution":{"observed_at":"2026-08-14T05:52:27.351840Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1608.05859","last_updated":"2017-02-21T17:50:20Z","snapshot_observed_at":"2026-08-20T11:24:33.016159Z","submitted_at":"2016-08-20T18:32:05Z","title":"Using the Output Embedding to Improve Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1608.05859","snapshot_observed_at":"2026-08-14T05:52:27.229458Z","title":"In InfoScale, volume 152, page 1","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2006,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.229458Z"},"links":{"cited_paper":"/paper/1608.05859","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:be94352696c1430e5d1588536335bbdb3f35c2089a9484c7b3748d2e86248650","observation_id":"bd82fbb0-da8d-4817-b119-0e2c1ece4d54","resolution":{"observed_at":"2026-08-14T05:52:27.229458Z","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":"2026-08-14T05:52:27.433213Z","title":"preprint (http://www","venue":null,"work_id":"c576558f-173e-4818-98d1-a764eadca3bf","year":2014},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2012,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.220011Z"},"links":{"citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:be6cec10f0a4d203d0518aa65214ffb70acffa2441bc62c38407f9d9cc07dc60","observation_id":"f9181ef1-718a-4c13-b633-afc4e087c63e","resolution":{"observed_at":"2026-08-14T05:52:27.437902Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1508.07909","last_updated":"2016-06-10T14:45:08Z","snapshot_observed_at":"2026-08-17T07:28:37.146698Z","submitted_at":"2015-08-31T16:37:31Z","title":"Neural Machine Translation of Rare Words with Subword Units","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.07909","snapshot_observed_at":"2026-08-14T05:52:27.234105Z","title":"arXiv preprint arXiv:1508.07909","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2015,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.234105Z"},"links":{"cited_paper":"/paper/1508.07909","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:aa6a18045a862c987e624a77fe605cb4ccabf3454d08efd212b6096e2216c287","observation_id":"3ac038c2-4bee-4e3f-8aa3-c1a3bf8e7c3c","resolution":{"observed_at":"2026-08-14T05:52:27.234105Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1610.03035","last_updated":"2017-02-07T15:52:27Z","snapshot_observed_at":"2026-08-14T21:35:52.890151Z","submitted_at":"2016-10-10T19:16:08Z","title":"Latent Sequence Decompositions","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1610.03035","snapshot_observed_at":"2026-08-14T05:52:27.195021Z","title":"arXiv preprint arXiv:1610.03035","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2016,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.195021Z"},"links":{"cited_paper":"/paper/1610.03035","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:a8a8fb3f1e6bf37dd7eb7f882412bfcd67014c1aa282a454da1d88aad1e85f0c","observation_id":"15aa855f-01f5-4a03-b595-535eb8d8fe24","resolution":{"observed_at":"2026-08-14T05:52:27.195021Z","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":"2026-08-14T05:52:27.448136Z","title":"Transactions of the Association for Computational Linguistics , 5:365–378","venue":null,"work_id":"cf5f22b5-e4fe-4f0a-9dfc-79db26f2f6dc","year":null},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.210663Z"},"links":{"citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:5974941893786f1ccdc9c8262d548526470c3b7ab91913a5de883d4a4a0a7492","observation_id":"980e2cf4-127d-4a31-8382-1b9b1bd8e0a9","resolution":{"observed_at":"2026-08-14T05:52:27.453124Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.06901","last_updated":"2018-08-27T18:00:08Z","snapshot_observed_at":"2026-08-14T19:44:20.985714Z","submitted_at":"2018-02-19T22:57:54Z","title":"Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1802.06901","snapshot_observed_at":"2026-08-14T05:52:27.215282Z","title":"arXiv preprint arXiv:1802.06901","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.215282Z"},"links":{"cited_paper":"/paper/1802.06901","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:a9f72f727a29c2594892aba5927111e4d76defaa06313d13562ee564c33fded8","observation_id":"a4a257bf-f586-41c2-81bd-a2cdc90cb638","resolution":{"observed_at":"2026-08-14T05:52:27.215282Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.09957","last_updated":"2018-10-08T04:30:44Z","snapshot_observed_at":"2026-08-14T18:18:13.301744Z","submitted_at":"2018-10-08T04:30:44Z","title":"NSML: Meet the MLaaS platform with a real-world case study","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.09957","snapshot_observed_at":"2026-08-14T05:52:27.205836Z","title":"In Pro- ceedings of the 57th Conference of the Association for Computational Linguistics, pages 6429–6441","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion","version":1},"reference_index":2019,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:27.205836Z"},"links":{"cited_paper":"/paper/1810.09957","citing_paper":"/paper/1909.00599"},"observation_digest":"sha256:bc618ff4ab92d58d86a3ea1ba0e3e5e08ce3e31495b2436275242cf44020a05e","observation_id":"2f200a44-ed54-4745-94fe-46137aafe810","resolution":{"observed_at":"2026-08-14T05:52:27.205836Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"1909.00599","last_updated":"2019-09-02T08:40:41Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-21T04:10:55.333337Z","submitted_at":"2019-09-02T08:40:41Z","title":"Subword Language Model for Query Auto-Completion"},"reference_resolution":{"displayed":12,"state_counts":{"malformed_identifier":0,"metadata_mismatch":2,"parse_uncertain":0,"unresolved":7,"verified_exact":0,"verified_fuzzy":3},"total_outbound_references":12},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1909.00599."}