{"as_of":"2026-08-16T04:30:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:90ca0b9a5929aa3aea1ad25be7025c02655b0568a19ad8f1535fb90abf5dd367","coverage":[{"denominator":26,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":26,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T11:25:12.655148Z","state":"measured"},{"denominator":26,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":26,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.09119/citation-record","integrity":"/paper/1908.09119/integrity","json":"/paper/1908.09119/citation-record.json","paper":"/paper/1908.09119"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.151037Z","title":"With the limited human capacity of consuming information, it becomes paramount to extract only useful information out of the vast amount of unstructured data available","venue":null,"work_id":"ce15b8d7-d604-4c37-a4d8-65ac99a141ca","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.551855Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:34a94dae3306f6555baba4246328f8939a7e246eb26c4d87a1148a2f7acf660c","observation_id":"932b2dcd-def1-4c53-af79-c051f5ce4cd9","resolution":{"observed_at":"2026-08-14T11:25:13.155203Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.134579Z","title":"Automatic text summarization is broadly of two types:","venue":null,"work_id":"2f5a6ecc-b452-450d-80de-4a56631570aa","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.556317Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:75155ead43641fc28f486984b8d2f49b676eb918477535b6bc3cbee6e807ab81","observation_id":"66245d71-4808-4f6d-b549-5202238f03ac","resolution":{"observed_at":"2026-08-14T11:25:13.142336Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.113147Z","title":"Here the sentences originally present in the document are used to form the summary, with no new sentences being formed","venue":null,"work_id":"94f47b29-3bcf-4a13-8dc7-053993827325","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.560327Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:2704d176615d2280bfd3d21ab71c3e7c1bc1b663b9cba3896b591b53915d2cf0","observation_id":"ee5a263b-b5a7-4028-bd9b-9656ac387b38","resolution":{"observed_at":"2026-08-14T11:25:13.120144Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.091567Z","title":"Here the gist of the document is represented using computer generated sentences, having close resemblance to the summary as produced by humans","venue":null,"work_id":"150de8a4-e521-4421-b408-33ebb6f708ae","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.564431Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:d4166ee08d932d0001a6babe941855d6c4b9174fba6033a53a5600f47bdd606d","observation_id":"93ea29ba-3c7e-47a0-9997-40505b7d54ed","resolution":{"observed_at":"2026-08-14T11:25:13.097713Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.075812Z","title":"Fast Legal EXpert CONsultant","venue":null,"work_id":"94e7a592-2cb4-43fa-a41c-bdca0e20dd6d","year":1999},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.568519Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:41764a459e176986a773d479b07eaf8b7aea2aeabc9c74df8d233b7211c39dc3","observation_id":"9dde7ec5-642d-4539-8533-33ded873ee40","resolution":{"observed_at":"2026-08-14T11:25:13.080279Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.059061Z","title":"Pre-processing Pre-processing of the document is a vital part of any text summarization approach","venue":null,"work_id":"4b47a9d4-cb46-4d99-84a5-399bab311288","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.573403Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:a20a3968e0783bf2f79bb351df30fe39f504854992aa5ee7a0cfd809f49c96dd","observation_id":"6b08ce80-9c3f-4d80-94a3-5c73c58081b5","resolution":{"observed_at":"2026-08-14T11:25:13.065624Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.044999Z","title":"sent_values = [sum(tf-idf of all words of sentence) / sum(tf-idf of all words of document)]","venue":null,"work_id":"51d0874f-7f1f-4b2e-9200-d544301b3a84","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.578848Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:88a8e326a74ba43da8d42fb83dde942a955884ab6c4547a0146f570299fb254d","observation_id":"4031719d-9c35-402a-86c3-eb40e52f69b5","resolution":{"observed_at":"2026-08-14T11:25:13.049238Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.030677Z","title":null,"venue":null,"work_id":"1d3f0cbc-3c69-42e0-9d15-170b9315cc90","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.583517Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:8b2d51fb9b792ad95b5dfd745343832f088f713591487f777ec72622db4b9e5c","observation_id":"7dedaabc-bc29-4f60-81b6-dee033123624","resolution":{"observed_at":"2026-08-14T11:25:13.035744Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:13.015795Z","title":"The legal cases consist of the headnotes and summary within the case file","venue":null,"work_id":"8a8624c6-5822-436f-8b35-48865dc1b069","year":2019},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.587414Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:83394ffd3a9f5d3548bbcdeeda1228f0d4db9f61b486d97b97a7d7405399bd08","observation_id":"66f8c42b-e0f2-40b2-aa32-73cc53c563a5","resolution":{"observed_at":"2026-08-14T11:25:13.021451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.996408Z","title":"The relevance and usefulness of each sentence in the summary changes with the person evaluating them","venue":null,"work_id":"b9ccf84c-1499-49e0-b0b7-906bd197bb9b","year":2004},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.591616Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:d20005f5ddc5636664efecda3f3c83ebde89f51b13bdef15aeac137fc4e02ef3","observation_id":"2dde0d52-bfbb-4448-a03d-dd36bb3b2eb5","resolution":{"observed_at":"2026-08-14T11:25:13.004274Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.977755Z","title":null,"venue":null,"work_id":"360ec997-bcba-45b7-af7d-c6d64aedb6b2","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.595488Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:8ab27277681fcc3eb3beae6e4ef780491ef4ac08ee897f2e6e4a67e469c37e53","observation_id":"139ddefe-4d64-4a38-86b6-5c8fa886a299","resolution":{"observed_at":"2026-08-14T11:25:12.982667Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.956331Z","title":"The summary generated closely resembles to the original summary as generated by the attorney of the case and can possibly be used in the court of law after further improvements","venue":null,"work_id":"03754340-d104-4861-9134-dec26212102c","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.599322Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:eaa037d26c99b19bc8c39f37b4e2df48725f5e30fa34ece2de1d1e9ae794bc77","observation_id":"7fd9662d-cd9e-4605-a7b1-9e787a549976","resolution":{"observed_at":"2026-08-14T11:25:12.961493Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.938009Z","title":"Text Summarization Extraction System (TSES) Using Extracted Keywords","venue":null,"work_id":"3a9f05e8-5c8c-437e-81d2-2236deba0b53","year":2010},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.603313Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:1525260a573a052a0980db424570ccba51ab09ca75daf844a851b84653dd2fcc","observation_id":"b79aa3ab-5957-40de-a264-00214dd6566e","resolution":{"observed_at":"2026-08-14T11:25:12.946018Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.923227Z","title":"Summarizing court decisions","venue":null,"work_id":"8ebe0f1c-1ca8-4637-969b-cc6e86f84910","year":2007},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.607645Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:ef826426261ebe19ef5ae1fed0e54f1aa374fa4e3045db2d73546b7b1046cad5","observation_id":"0a589792-0d3a-46df-9f47-00389a5c859f","resolution":{"observed_at":"2026-08-14T11:25:12.928367Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.907105Z","title":"CaseSummarizer: A System for Automated Summarization of Legal Texts","venue":null,"work_id":"10f8ae6b-3bc9-4110-b595-356c0c6d620e","year":2016},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.611923Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:4128c5fb3f68990a2a70be20e5a3df0e89dcb59b9a26aced47fa2132d745af8f","observation_id":"9570c1f0-c714-48b2-a60c-fc2dd65f7d62","resolution":{"observed_at":"2026-08-14T11:25:12.912298Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.892082Z","title":"Assessing sentence scoring techniques for extractive text summarization","venue":null,"work_id":"e3962111-8b7d-42e0-80ac-3d2cb8ef6390","year":2013},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.616167Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:659e338756adca744056e5a43ffc050685b0c29b8f3644c2814a72fdca000c0a","observation_id":"581cda91-149a-4980-85db-16a32d58ed9f","resolution":{"observed_at":"2026-08-14T11:25:12.897398Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.877047Z","title":"Survey on Abstractive Text Summarization","venue":null,"work_id":"8ebeb011-af67-442c-8188-ce754606b1bd","year":2018},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.620163Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:822c45fae9561e249cba0ace0e3bf49334f60be17d155c3418bac98a17efefe8","observation_id":"dea345ee-3abe-4fdd-815a-d13f61ddfda6","resolution":{"observed_at":"2026-08-14T11:25:12.883064Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.860150Z","title":"Multi- document text summarization - a survey","venue":null,"work_id":"d4e0cc4f-0206-4a78-8551-c5e002915238","year":2016},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.624249Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:66a96e31954220e522b7c74e4ce213b53769917f0d1db0e65f3cb615975d6b6a","observation_id":"da1e7f59-2122-41d8-a375-661d925cb82e","resolution":{"observed_at":"2026-08-14T11:25:12.866813Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.843439Z","title":null,"venue":null,"work_id":"f7cff559-df61-4645-bf03-ed910b8d9c22","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.628091Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:17de774a514315278427d81fd97b6c2acd6d67ad7f9a774f5ab4519326dcd73e","observation_id":"93b41d2a-bf8f-44e7-9e7e-c882dc422c57","resolution":{"observed_at":"2026-08-14T11:25:12.848541Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.824214Z","title":"Review on determining number of Cluster in K-Means Clustering","venue":null,"work_id":"4d038a9d-1614-4aa9-86d1-48814ecb0699","year":2013},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.631531Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:4a4d78f0ba9019a29f35f7135fa83a436b3e0cf5d9cb35858cdc5e03614177b8","observation_id":"11a74c02-d78e-4931-acd6-94c226573a21","resolution":{"observed_at":"2026-08-14T11:25:12.830815Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.788657Z","title":"ROUGE: a Package for Automatic Evaluation of Summaries","venue":null,"work_id":"ad7acb0c-ddf4-4527-820c-c8520b762c6b","year":2004},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.635322Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:2b8b5999dda712ee646d275709d2e905e689b5c01d0b52650376203b0905753e","observation_id":"34a9e66c-fcc4-40a8-b1ce-c7fec4826f4d","resolution":{"observed_at":"2026-08-14T11:25:12.794271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.770721Z","title":"A Review On Automatic Text Summarization Approaches","venue":null,"work_id":"c07f1f62-5c10-4875-88eb-0a9fc0751e5f","year":2016},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.639380Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:79d6e8ae08de7cfea12ce9903df80d703f8d7dd5a38504b5ce279d971872f3fc","observation_id":"105b5bd1-f8e9-48ab-bf4d-8d761a61cd83","resolution":{"observed_at":"2026-08-14T11:25:12.775795Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.752835Z","title":"Klopotek and Slawomir T","venue":null,"work_id":"185ad9d7-649f-44c0-a5b4-9f770df0a467","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.643624Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:6f070578fab7c9c77d51abad10628dad37465f41ea18db8d36d040b8e2254065","observation_id":"654db419-69f0-475a-928d-e3c06e04e447","resolution":{"observed_at":"2026-08-14T11:25:12.758217Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.720794Z","title":null,"venue":null,"work_id":"9cff565d-ca97-4536-87e7-005b3496df25","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.647263Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:25f3c011e4e201fa04836b34fa26f400b5f5da42240529db935a3cf4bf46a39f","observation_id":"a64c9a4f-2e13-4df1-99bb-fd3d93c32127","resolution":{"observed_at":"2026-08-14T11:25:12.737721Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.703066Z","title":null,"venue":null,"work_id":"c23572b2-ffe2-42af-91bc-46cac227b00d","year":null},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.651139Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:5b1e294aa4da493f9b81d1bacc3cc417d8f7c89501b8739bc55ae2a475b00b5f","observation_id":"dc76b796-e0b7-4d1a-b6fe-e8e3de4ce4f0","resolution":{"observed_at":"2026-08-14T11:25:12.707784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T11:25:12.684632Z","title":"Identification of Rhetorical Roles for Segmentation and Summarization of a Legal Judgment","venue":null,"work_id":"6efb00af-9cfa-456b-b6a6-9d9debb8c71a","year":2010},"citing_paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T11:25:12.655148Z"},"links":{"citing_paper":"/paper/1908.09119"},"observation_digest":"sha256:e5f93d7e1c5c271a13d6f609fc6ac628a3396058d751c2da360a3efefe9009bf","observation_id":"79c870b9-6af9-4141-a805-d1942e1374e0","resolution":{"observed_at":"2026-08-14T11:25:12.691417Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.09119","last_updated":"2019-08-24T10:05:40Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T11:19:05.164825Z","submitted_at":"2019-08-24T10:05:40Z","title":"Automatic Text Summarization of Legal Cases: A Hybrid Approach"},"reference_resolution":{"displayed":26,"state_counts":{"malformed_identifier":1,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":4,"verified_exact":0,"verified_fuzzy":21},"total_outbound_references":26},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:1908.09119."}