{"as_of":"2026-08-03T22:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1ca5f1c05ec32dfed54da1ef7f01bf4cd3302d51a03879b85250c33bbd63bfa7","coverage":[{"denominator":32,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":32,"source":"paper_references, paper_reference_links","source_observed_at":"2026-05-24T21:40:17.641701Z","state":"measured"},{"denominator":32,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":32,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-03T06:30:56.289259+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/1907.06330/citation-record","integrity":"/paper/1907.06330/integrity","json":"/paper/1907.06330/citation-record.json","paper":"/paper/1907.06330"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"1707.02268","last_updated":"2017-07-28T16:37:16Z","snapshot_observed_at":"2026-07-06T05:50:13.428362Z","submitted_at":"2017-07-07T16:55:56Z","title":"Text Summarization Techniques: A Brief Survey","version":3},"cited_work":{"arxiv_id":"1707.02268","doi":null,"metadata_source":"pith","pith_arxiv_id":"1707.02268","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Text Summarization Techniques: A Brief Survey","venue":"cs.CL","work_id":"4a32ff95-9210-416b-a012-86986f53797d","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1707.02268","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:d3813dfb61758bb34c06bc81828b3489a0e5d408a7408e601935f7231ac188da","observation_id":"b06b650e-f4d8-4b3a-9d64-98898bbfb4d6","resolution":{"observed_at":"2026-05-24T21:44:59.473063Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1610.08462","last_updated":"2016-10-26T18:57:00Z","snapshot_observed_at":"2026-08-03T12:35:02.445132Z","submitted_at":"2016-10-26T18:57:00Z","title":"Distraction-Based Neural Networks for Document Summarization","version":1},"cited_work":{"arxiv_id":"1610.08462","doi":null,"metadata_source":"pith","pith_arxiv_id":"1610.08462","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Distraction-Based Neural Networks for Document Summarization","venue":"cs.CL","work_id":"bf351f98-b28c-46a2-8f57-457c349097ae","year":2016},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1610.08462","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:dc42c39599187e497ab4fd0b63788829a890497196cead2de3c92da4ae64c0ea","observation_id":"3cf428cc-959b-4481-ab90-959a20c91daa","resolution":{"observed_at":"2026-05-24T21:44:59.508925Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1603.07252","last_updated":"2016-07-01T03:16:03Z","snapshot_observed_at":"2026-08-03T14:51:44.877806Z","submitted_at":"2016-03-23T16:05:46Z","title":"Neural Summarization by Extracting Sentences and Words","version":3},"cited_work":{"arxiv_id":"1603.07252","doi":null,"metadata_source":"pith","pith_arxiv_id":"1603.07252","snapshot_observed_at":"2026-07-03T14:18:22.898667Z","title":"Neural Summarization by Extracting Sentences and Words","venue":"cs.CL","work_id":"5a8aadab-1b49-4a8c-b4a4-2532331a9f4a","year":2016},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1603.07252","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:25bcdda0b72f989a7b4f0879e4c2e771830fe3b091b25f9e7e267c47fa1de245","observation_id":"e5fd8a39-e83f-425d-9970-5a8a185637b6","resolution":{"observed_at":"2026-05-24T21:44:59.467471Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"89ede3d6-df60-43ee-a087-6bbf669e5c69","year":2011},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:cf1d2c97aab8c279aa30b3e1bb0066e8ff53d9e902e6e90b2e0dc908ddaf1448","observation_id":"7f3075ce-c521-4351-90e6-f64466a5985d","resolution":{"observed_at":"2026-05-24T21:46:26.020157Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"63bb8c4a-9d3b-4669-be03-d92fd6b817e6","year":2004},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:37ee4d751544a0225fa7e4b52efd232fa92e695ed5c1c44bff4ff0288df633fe","observation_id":"f7476865-8cb1-4f9c-96aa-a1c77ed997d4","resolution":{"observed_at":"2026-05-24T21:46:26.023259Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"75849c0f-7ef7-409f-9f52-f6100baec640","year":2015},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:83964f1b262774411aaa73dfa53f1e6b047352a7b79ed17e9328f53d488f62aa","observation_id":"915a7286-1cb7-438d-ab1a-7e4731d7dbdb","resolution":{"observed_at":"2026-05-24T21:46:26.013827Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":"2014.Solr in action","venue":null,"work_id":"2a921445-dfad-44fc-aee7-a4253182afc3","year":2014},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:b10b4faaf037562f498d892202bdc0ee04c42b76b0ed68dccc65ae04d1a043ad","observation_id":"7d1c742c-0c75-413e-bdd0-ebf258016a2f","resolution":{"observed_at":"2026-05-24T21:46:26.007406Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1404.2188","last_updated":"2014-04-08T15:46:44Z","snapshot_observed_at":"2026-07-06T03:40:40.008561Z","submitted_at":"2014-04-08T15:46:44Z","title":"A Convolutional Neural Network for Modelling Sentences","version":1},"cited_work":{"arxiv_id":"1404.2188","doi":null,"metadata_source":"pith","pith_arxiv_id":"1404.2188","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Convolutional Neural Network for Modelling Sentences","venue":"cs.CL","work_id":"2c17ab98-9918-45b7-a867-2e4fa4f40bdf","year":2014},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1404.2188","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:91d59b2fdcac224d0e278bdfbedfaa771bcff11b9e5b61d9e85769af1448ec93","observation_id":"6eb47ca6-47d2-4395-8b1f-708a6f40bfa1","resolution":{"observed_at":"2026-05-24T21:44:59.497427Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1408.5882","last_updated":"2014-09-03T03:09:02Z","snapshot_observed_at":"2026-08-02T18:04:41.524293Z","submitted_at":"2014-08-25T19:48:04Z","title":"Convolutional Neural Networks for Sentence Classification","version":2},"cited_work":{"arxiv_id":"1408.5882","doi":null,"metadata_source":"pith","pith_arxiv_id":"1408.5882","snapshot_observed_at":"2026-07-03T14:08:22.550471Z","title":"Convolutional Neural Networks for Sentence Classification","venue":"cs.CL","work_id":"993684ab-aaf8-4590-bb77-5d7aec85dffc","year":2014},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1408.5882","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:21b1d9112cbbb3e036dd43c6d00906b22c13e7e573483298a818be66f09777f7","observation_id":"f8defb5e-450d-44b4-9065-52d0f93746e4","resolution":{"observed_at":"2026-05-24T21:44:59.521479Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1807.02039","last_updated":"2018-07-05T14:58:32Z","snapshot_observed_at":"2026-07-06T06:48:34.386900Z","submitted_at":"2018-07-05T14:58:32Z","title":"Towards a simplified ontology for better e-commerce search","version":1},"cited_work":{"arxiv_id":"1807.02039","doi":null,"metadata_source":"pith","pith_arxiv_id":"1807.02039","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Towards a simplified ontology for better e-commerce search","venue":"cs.IR","work_id":"96153f34-813d-4e4b-aa78-3a8ac9e8110a","year":2018},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1807.02039","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:8fba7b78480153647f575e05a33605cd2f361d966a388ceae4710420d2e124d2","observation_id":"a1232239-1db2-4490-98bb-965f91d4fb29","resolution":{"observed_at":"2026-05-24T21:44:59.514664Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1506.01057","last_updated":"2015-06-06T01:47:34Z","snapshot_observed_at":"2026-07-06T04:19:44.450372Z","submitted_at":"2015-06-02T20:53:53Z","title":"A Hierarchical Neural Autoencoder for Paragraphs and Documents","version":2},"cited_work":{"arxiv_id":"1506.01057","doi":null,"metadata_source":"pith","pith_arxiv_id":"1506.01057","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A Hierarchical Neural Autoencoder for Paragraphs and Documents","venue":"cs.CL","work_id":"3caa8551-a13e-4396-a249-4f1bb20d955e","year":2015},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1506.01057","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:0e88ebb9eaeda137faa26939e2f16da5d996e2ac92be4026f64be63c0f623cbd","observation_id":"a836ec08-e39c-4d2f-9b8e-87e996f74c5b","resolution":{"observed_at":"2026-05-24T21:44:59.547610Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0126a3e8-c756-4236-b6be-ec85023db4dd","year":null},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:29d7138e5510b40363339de31beef4ff01493a5d8c1407d8bdc2269a2a4dcc61","observation_id":"c94114e5-be87-4bd3-9607-a4a23eeaaaad","resolution":{"observed_at":"2026-05-24T21:46:26.010733Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1606.01541","last_updated":"2016-09-29T15:02:32Z","snapshot_observed_at":"2026-07-31T07:28:15.639208Z","submitted_at":"2016-06-05T17:59:23Z","title":"Deep Reinforcement Learning for Dialogue Generation","version":4},"cited_work":{"arxiv_id":"1606.01541","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.01541","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Deep Reinforcement Learning for Dialogue Generation","venue":"cs.CL","work_id":"e265e766-0015-400f-a606-3a12aed8f8d7","year":2016},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1606.01541","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:b7f7bcd75628cf0f6470aff4bc2c045996fb0cd63554bdd542fd9bc22a1522a3","observation_id":"61ed596c-f2bb-4b29-af0b-136fc1ae9047","resolution":{"observed_at":"2026-05-24T21:44:59.456026Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"82e559b8-ab7b-4d99-8ff5-26e38bc13299","year":2004},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:f242dd2c64040ff5a06805f67382f5d527f613a90f9d08092d4a42d295736b83","observation_id":"f465985c-530a-4bbc-856d-9c7cc14f5988","resolution":{"observed_at":"2026-05-24T21:46:26.016934Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"bf3cccd6-7a29-4032-a0de-371f2da3765e","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:923e5beca9f5035e2887bf87a7a5dd89463094208613295c8faa32a8beca88f7","observation_id":"2818bcfd-b26c-4512-a52b-4aa19dc4902c","resolution":{"observed_at":"2026-05-24T21:46:26.026883Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1602.06023","last_updated":"2016-08-26T16:13:13Z","snapshot_observed_at":"2026-07-30T19:30:50.474373Z","submitted_at":"2016-02-19T02:04:18Z","title":"Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond","version":5},"cited_work":{"arxiv_id":"1602.06023","doi":null,"metadata_source":"pith","pith_arxiv_id":"1602.06023","snapshot_observed_at":"2026-07-04T19:50:10.393924Z","title":"Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond","venue":"cs.CL","work_id":"f4b47aa4-845b-42b8-a866-e3fa85cdc379","year":2016},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1602.06023","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:8a7b2c0edb8aec5d89340e809ad4feee951b7dea9ec6bbfe3a6c23963b662777","observation_id":"9e8ad485-7da7-4344-a156-f9998da59db8","resolution":{"observed_at":"2026-05-24T21:44:59.552946Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1802.08636","last_updated":"2018-04-16T14:03:41Z","snapshot_observed_at":"2026-07-06T06:25:04.506480Z","submitted_at":"2018-02-23T16:55:31Z","title":"Ranking Sentences for Extractive Summarization with Reinforcement Learning","version":2},"cited_work":{"arxiv_id":"1802.08636","doi":null,"metadata_source":"pith","pith_arxiv_id":"1802.08636","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Ranking Sentences for Extractive Summarization with Reinforcement Learning","venue":"cs.CL","work_id":"b1b57bc4-19b8-44b8-8d8d-17f34fcca30a","year":2018},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1802.08636","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:dc7217cde3334b8a2e2f977c967c18ba4049ee022e0a8e37a8b9599607bf96d7","observation_id":"f1bdf146-0780-4293-88f2-0cfa8ea8876f","resolution":{"observed_at":"2026-05-24T21:44:59.462006Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"084cfee1-f454-4e7c-80df-0d79890ade9c","year":null},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:bade4461f4a8a50fa7f80a56eccc341cec2198a6cc601002feec69608122fcd9","observation_id":"b676c6e2-1a63-47b3-a5d6-775b8048b5ce","resolution":{"observed_at":"2026-05-24T21:46:26.040461Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04530","last_updated":"2017-09-10T19:56:15Z","snapshot_observed_at":"2026-08-01T18:05:49.962301Z","submitted_at":"2017-04-14T20:29:23Z","title":"Neural Extractive Summarization with Side Information","version":2},"cited_work":{"arxiv_id":"1704.04530","doi":null,"metadata_source":"pith","pith_arxiv_id":"1704.04530","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Neural Extractive Summarization with Side Information","venue":"cs.CL","work_id":"af608784-d3bc-4e51-8621-ad33d97b6cf3","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1704.04530","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:8774d675bf02ad13b8ff6a0ed261a3fef9f0d5ab73b31957338b244fb315ed33","observation_id":"e3e095af-7523-4fb6-927d-b136cac2e791","resolution":{"observed_at":"2026-05-24T21:44:59.484340Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e5ecdace-9be3-45d8-bbe9-7099ca3dbc35","year":2006},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:b00d6f63364233c1bc23d5b5e025b0d59407f0320672ce80a6981c34cd40c1bf","observation_id":"ef620582-88e6-4c9c-b808-0b0fe7775e53","resolution":{"observed_at":"2026-05-24T21:46:26.033127Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e5843821-11f8-4277-945c-fb30fb4d01ab","year":2000},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:f714c8650d683bc8abee68349be3c3b5e019ce074c116c5bfdb52a4bcf613ef0","observation_id":"2730b082-9ec8-47cf-82b2-262df3f4e304","resolution":{"observed_at":"2026-05-24T21:46:26.037057Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1705.04304","last_updated":"2017-11-13T20:11:26Z","snapshot_observed_at":"2026-07-06T05:42:19.240971Z","submitted_at":"2017-05-11T17:39:35Z","title":"A Deep Reinforced Model for Abstractive Summarization","version":3},"cited_work":{"arxiv_id":"1705.04304","doi":null,"metadata_source":"pith","pith_arxiv_id":"1705.04304","snapshot_observed_at":"2026-07-04T10:09:44.442549Z","title":"A Deep Reinforced Model for Abstractive Summarization","venue":"cs.CL","work_id":"695bccd0-0af1-4155-884d-5939ff22c510","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1705.04304","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:a786e0838e054a5aa5fd5de70145c1061f334a3c0d5d51ef816add384354f802","observation_id":"2c005d86-3dc8-42ed-bd26-55b923348e7d","resolution":{"observed_at":"2026-05-24T21:44:59.478862Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"aca63140-ebc7-49d6-a3fb-5ae49e35bf83","year":null},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:f8658e88f3d6104d330618865f57b400397e65e995ab56ecf71b418938fdd520","observation_id":"1fbfa63b-b865-4c7c-958a-de84408138c4","resolution":{"observed_at":"2026-05-24T21:46:26.043667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0b8d1925-bd60-4c46-986f-f6c706b0b787","year":2004},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:a00a984b17b32fa528d6064af46231139e9a08530df22b94ff2db6ae274a7918","observation_id":"c101c609-0ba7-453f-a2ff-2fd130eea4ef","resolution":{"observed_at":"2026-05-24T21:46:26.029868Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"0abaa2f5-72e4-4ba1-994f-0d891fe54c0f","year":null},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:cb6a276c78dbe22b2d713035e47b4165d0bcadf408df5918b095f380ef5eaad7","observation_id":"f91a4d3c-3c31-4576-aa39-b1753d9b8236","resolution":{"observed_at":"2026-05-24T21:46:25.998452Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1511.06732","last_updated":"2016-05-06T21:18:46Z","snapshot_observed_at":"2026-07-31T03:58:50.695173Z","submitted_at":"2015-11-20T19:25:54Z","title":"Sequence Level Training with Recurrent Neural Networks","version":7},"cited_work":{"arxiv_id":"1511.06732","doi":null,"metadata_source":"pith","pith_arxiv_id":"1511.06732","snapshot_observed_at":"2026-07-10T20:47:34.549319Z","title":"Sequence Level Training with Recurrent Neural Networks","venue":"cs.LG","work_id":"dc290ee1-26a6-4bd7-9e1f-2750979723af","year":2015},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1511.06732","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:7143f721002069d1af0a97c5a3e0046ff995efec6d4da7afd1d44a73b8fc1b0b","observation_id":"7d2a1b6e-aa8d-4447-8176-e2e265026dc6","resolution":{"observed_at":"2026-05-24T21:44:59.530875Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1509.00685","last_updated":"2015-09-03T19:55:45Z","snapshot_observed_at":"2026-07-06T04:28:33.264348Z","submitted_at":"2015-09-02T13:20:40Z","title":"A Neural Attention Model for Abstractive Sentence Summarization","version":2},"cited_work":{"arxiv_id":"1509.00685","doi":null,"metadata_source":"pith","pith_arxiv_id":"1509.00685","snapshot_observed_at":"2026-07-03T14:18:22.859374Z","title":"A Neural Attention Model for Abstractive Sentence Summarization","venue":"cs.CL","work_id":"6e662b78-3408-4304-9bf6-d8e2fc260bc9","year":2015},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1509.00685","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:a213c9a3b1875999d9f17b3ebe8bdd2c3ae3376edd0554602ee67f4f5cc67c7b","observation_id":"53e613d2-8bbf-471a-811b-f664da2be178","resolution":{"observed_at":"2026-05-24T21:44:59.489987Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1704.04368","last_updated":"2017-04-25T05:47:50Z","snapshot_observed_at":"2026-07-06T05:37:49.239583Z","submitted_at":"2017-04-14T07:55:19Z","title":"Get To The Point: Summarization with Pointer-Generator Networks","version":2},"cited_work":{"arxiv_id":"1704.04368","doi":null,"metadata_source":"pith","pith_arxiv_id":"1704.04368","snapshot_observed_at":"2026-07-10T00:56:41.140541Z","title":"Get To The Point: Summarization with Pointer-Generator Networks","venue":"cs.CL","work_id":"6974c78c-be8b-42ea-88c2-f72365d7be6c","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1704.04368","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:e860f9da808b4e40dabf9204dd31922d672463452fb5cb671a030038d44a66cf","observation_id":"f709eb5e-2ef3-4ed6-accb-56110ebe4a17","resolution":{"observed_at":"2026-05-24T21:44:59.503337Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"048ecc2f-51bd-4d90-a37c-d822776bc4c4","year":2014},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:c59dbf9e0c232c94d11ad267b5706b7c173b101649015960eae352fc8fae2340","observation_id":"1ecd41dc-fb57-476f-94b9-f5a2e674f2f0","resolution":{"observed_at":"2026-05-24T21:46:26.001958Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"d199447d-f904-4141-9365-712c2dc635b0","year":2002},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:e568ca1f6344eeb9ba4520f5b0ce1ee03d44512c5acc58826fdbac3ebdab65c2","observation_id":"e3c1b842-affc-4c06-96eb-d390ceb7f45d","resolution":{"observed_at":"2026-05-24T21:46:26.004740Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+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":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"6175b884-1e2d-4306-8bf0-ae1e6d0ad466","year":1992},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:b474423d85b2babbb8064655009edcf23865d2e2765e4515b5c75946768e939b","observation_id":"1a3882f8-da59-4d20-affa-3894d41cbadf","resolution":{"observed_at":"2026-05-24T21:46:25.994952Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1706.06681","last_updated":"2017-08-23T08:46:52Z","snapshot_observed_at":"2026-08-01T12:31:08.938625Z","submitted_at":"2017-06-20T22:12:14Z","title":"Graph-based Neural Multi-Document Summarization","version":3},"cited_work":{"arxiv_id":"1706.06681","doi":null,"metadata_source":"pith","pith_arxiv_id":"1706.06681","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Graph-based Neural Multi-Document Summarization","venue":"cs.CL","work_id":"615a6940-87aa-406c-8a75-45b9fcd6879f","year":2017},"citing_paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-24T21:40:17.641701Z"},"links":{"cited_paper":"/paper/1706.06681","citing_paper":"/paper/1907.06330"},"observation_digest":"sha256:f37352c60e5003aa43cfc6b2656658d0f0103c0be1b3d2874b2acb9180badae3","observation_id":"75506181-f874-4bc1-9c07-8b72e12a94a0","resolution":{"observed_at":"2026-05-24T21:44:59.541723Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1907.06330","last_updated":"2019-07-15T04:48:34Z","latest_version":1,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-02T11:15:30.100489Z","submitted_at":"2019-07-15T04:48:34Z","title":"Ranking sentences from product description & bullets for better search"},"reference_resolution":{"displayed":32,"state_counts":{"malformed_identifier":0,"metadata_mismatch":3,"parse_uncertain":0,"unresolved":15,"verified_exact":13,"verified_fuzzy":1},"total_outbound_references":32},"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":"2026-08-03T06:30:56.289259+00:00","source":"crossref"},{"observed_at":"2026-08-03T06:30:50.922721+00:00","source":"retraction_watch"}],"thesis":"As of 3 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:1907.06330."}