{"as_of":"2026-08-19T14:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7d8fec31b21892e4fc94fd8e82f0340da9160879454bda424377ba1a01f19205","coverage":[{"denominator":57,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":57,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T00:50:20.389643Z","state":"measured"},{"denominator":58,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":58,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:29:53.679844Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-15T14:29:53.893513Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"cited_work":{"arxiv_id":"2505.04643","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.04643","snapshot_observed_at":"2026-08-15T14:29:53.893513Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","venue":"cs.CL","work_id":"cbdacea3-9f6d-45b0-b1fc-25ddd8f5c3ad","year":2025},"citing_paper":{"arxiv_id":"2608.10356","last_updated":"2026-08-11T01:28:47Z","snapshot_observed_at":"2026-08-19T01:58:26.110268Z","submitted_at":"2026-08-11T01:28:47Z","title":"Design-Based Prediction-Powered Inference for Spatial Data","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-15T14:29:53.679844Z"},"links":{"cited_paper":"/paper/2505.04643","citing_paper":"/paper/2608.10356"},"observation_digest":"sha256:4305b92e63474050f4e619d3ab1ba89980dbda77de79b4f0939851833f4cb8e8","observation_id":"2391ebf9-069b-40c6-a9da-b9e92fc5a14b","resolution":{"observed_at":"2026-08-15T14:29:53.900452Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.04643/citation-record","integrity":"/paper/2505.04643/integrity","json":"/paper/2505.04643/citation-record.json","paper":"/paper/2505.04643"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:21.041976Z","title":"John Wiley & Sons, 3 edition, 1977","venue":null,"work_id":"3211e73e-85b3-420e-9ac6-b5d1716dbf06","year":1977},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.212318Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b9c49f95d49774ec73e21c77b5d21a8ffad937a596eab2f032f1cb69338cf6ad","observation_id":"8b736b59-6dca-4db3-9d52-6cd084d6099d","resolution":{"observed_at":"2026-08-16T00:50:21.045112Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:21.032519Z","title":"On the theory of sampling from finite populations","venue":null,"work_id":"704e1f40-626a-4428-9667-8f80c23bc2f2","year":1943},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.216343Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:3aaaa550a7322487af4cc23dc9b560da4c456e5639e9f82c7acbf9b5430b6926","observation_id":"4e882c7a-6463-4fff-9f26-17c45c7175ed","resolution":{"observed_at":"2026-08-16T00:50:21.035837Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:21.022719Z","title":"A generalization of sampling without replacement from a finite universe.Journal of the American Statistical Association, 47(260):663–685, 1952","venue":null,"work_id":"2e5eea5d-9e41-4847-8f47-3245d8e2356a","year":1952},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.219796Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:05fb8492497573ab406573e4ca3a25f0053d97dc4abf8ede74150d4552f2b19b","observation_id":"4907731f-1c7f-43b1-aa0b-0c47e651753f","resolution":{"observed_at":"2026-08-16T00:50:21.026550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:21.012977Z","title":"Model assisted survey sampling","venue":null,"work_id":"a0dc65cc-2ade-4251-b177-521d19cc09b4","year":2003},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.223654Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:3e7237835ed5dc54a11eb8263db8ac0a5dd514554e67d6564fff0f1e8babd3b6","observation_id":"7a093ea4-edb6-4d62-b782-2f40734b08d6","resolution":{"observed_at":"2026-08-16T00:50:21.016193Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:21.003419Z","title":"A Horvitz–Thompson-type estimator of species richness.Environmetrics, 22(7):901–910, 2011","venue":null,"work_id":"8e9b924e-1cdc-4731-b28b-e0988c770f51","year":2011},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.226849Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:f5014d35382d80de6d968c15a9dfc6ae6feab1ca8a1db52ff6c80724494a96f4","observation_id":"411ebbe4-769a-4424-82de-52cb9a1dc51c","resolution":{"observed_at":"2026-08-16T00:50:21.006903Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.993693Z","title":"Estimating population treatment effects from a survey subsample","venue":null,"work_id":"8d6a63e0-ab64-4309-aadc-7bea260eb6dd","year":2014},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.230013Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:8ed8b0c10ddbf1c5841bf9a9d022d9de414bf5b9c40f5c04d59cf94ae5fe53e3","observation_id":"6403fe85-b86b-4e4b-ac1d-9e0c1e6a2ece","resolution":{"observed_at":"2026-08-16T00:50:20.997249Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.984149Z","title":"High- resolution population estimation using household survey data and building footprints.Nature communications, 13(1):1330, 2022","venue":null,"work_id":"9a8ac396-9c71-476a-ac2f-ddb57e026108","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.233390Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:8b29d24e119881e4ac85bc241433ba631b369b24105056309c8cdb5f02a84f6f","observation_id":"87ca89c7-1135-4396-b74e-22c7ad364bfb","resolution":{"observed_at":"2026-08-16T00:50:20.987612Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.973740Z","title":"Some Thoughts on Official Statistics and its Future (with discus- sion)","venue":null,"work_id":"a6d61d47-d733-4d85-b2de-fa5f5e8119cf","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.236645Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:0877ce3002e97bd51226479f8357a6738475b6fe6f4ea3919705accf3da121e8","observation_id":"b12bb6d1-29d0-430a-9010-1c7b631036b9","resolution":{"observed_at":"2026-08-16T00:50:20.977507Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.963212Z","title":"Statistics Canada’s Quality Assurance Framework","venue":null,"work_id":"f541246f-5136-483a-92ad-a082131651fd","year":2017},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.239788Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:c41698d0a556220581fd091679a4c172149f251232a7abf1e0c992450d9bcfc1","observation_id":"259e27dd-df37-48fd-95d8-f87485557e9e","resolution":{"observed_at":"2026-08-16T00:50:20.967006Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.952819Z","title":"Lag om den officiella statistiken [Offi- cial Statistics Act]","venue":null,"work_id":"0b47b203-c421-4772-806c-7faa3fbef60d","year":2001},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.242951Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b40999b3485cd9ae8677641b49592e7a7648077fd483aa9facca86c2c36ef454","observation_id":"9d8717f4-1902-4ee9-8fb5-d149d3fa2be6","resolution":{"observed_at":"2026-08-16T00:50:20.956283Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.942839Z","title":"Regulation (EC) No 223/2009 of the European Parliament and of the Council of 11 March 2009 on European Statistics, 2009","venue":null,"work_id":"ec245fef-86e0-473e-81a2-090cfeffba10","year":2009},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.245826Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:c615ab60a63673b6216d2cf91f6ae46cea175e3e17aef4cdf1a57b3aedfac5f8","observation_id":"7b0f85de-3487-4094-8df1-a96664ba7dc5","resolution":{"observed_at":"2026-08-16T00:50:20.946700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.933237Z","title":"The National Academies Press, Washington, DC, 2024","venue":null,"work_id":"c00de3b5-2ced-4dd7-b0fa-84952f65109a","year":2024},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.249076Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:830067d40eb0a2b85565ca69c2ac07555e1edbe8e1f5eb793ac337ebe19ccbe8","observation_id":"b6a3b29e-a62a-4d54-8f97-0e3422466bf8","resolution":{"observed_at":"2026-08-16T00:50:20.936590Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.923538Z","title":"Politics as Usual? Measuring Populism, Nationalism, and Authoritarianism in US Presidential Campaigns (1952–2020) with Neural Language Models","venue":null,"work_id":"358f4a15-f5bc-4e6b-a425-264fc4cdc4a4","year":1952},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.251947Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:528d7a203f699d71549cbcf4fe41f85dac234ab975fd1746bb0f8cc3f64322a4","observation_id":"7094c3b0-dcff-4d3a-be72-9437aad41e21","resolution":{"observed_at":"2026-08-16T00:50:20.927131Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.254902Z","title":"The augmented social scientist: Using sequential transfer learning to annotate millions of texts with human-level accuracy.Sociological Methods & Research, 53(3):1167–1200, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.254902Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:289802454790920080957f2cf8cb439f1b02ea4adaf43ac459331c5f3cb7e69d","observation_id":"9e6f9b2c-c8c2-40d0-bb1a-4575edcd925a","resolution":{"observed_at":"2026-08-16T00:50:20.254902Z","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":"2026-08-16T00:50:20.908063Z","title":"A deep language model for symptom extraction from clinical text and its application to extract COVID-19 symptoms from social media","venue":null,"work_id":"f120fb4f-95f8-485d-b7af-c6348400eeb5","year":2021},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.257785Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:c777f91213171affff82c0bc84b86fca7e2cbb53cafe89a6bca263d17b22f738","observation_id":"5ff180c5-4ce1-4d0e-aecd-055ed800b751","resolution":{"observed_at":"2026-08-16T00:50:20.911463Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.898558Z","title":"Emergingindustry classification based on BERT model.Information Systems, 128:102484, 2025","venue":null,"work_id":"7c53c566-36be-4d17-91d9-b5acb6ffbe3d","year":2025},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.260744Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:33d710b27c8e76ad99b08912f0c2c1dcd4963cea04daac14c7b8dab86ed872d5","observation_id":"21e2602a-cc18-43f3-8624-75b48aa59970","resolution":{"observed_at":"2026-08-16T00:50:20.901970Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.888758Z","title":"Innovations in public health surveillance: An overview of novel use of data and analytic methods","venue":null,"work_id":"39e95a0b-6968-4324-875b-1778ffadd39d","year":2024},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.263727Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:c072f1caaad8b78803ecfa742a74cc1f7264cb8abe1c3c01b36c953322cddef7","observation_id":"ca449941-dc3b-4c8e-87bb-c3ec2192a4ec","resolution":{"observed_at":"2026-08-16T00:50:20.892143Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.879076Z","title":"Anmälda brott 2023 slutlig statistik [Reported Crimes 2023 Final Statistics].https://bra.se/download/18","venue":null,"work_id":"c5cf57b1-97a3-4885-9ba8-63d204b842e0","year":2023},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.266405Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:ff3bbebe3275057f792a2c32e97165a5a7de32874471abdb8c1a898df8774119","observation_id":"fb86a770-e999-4d6c-9132-3a9dda693717","resolution":{"observed_at":"2026-08-16T00:50:20.882642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.269377Z","title":"Active Learning Literature Survey","venue":null,"work_id":null,"year":2009},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.269377Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:6013903c9d4600c26d340b3c846e6c98e9b22332d36cbecd6e42a2145ec3afdd","observation_id":"590021d4-6b5c-446b-9fa9-a0a1268fea81","resolution":{"observed_at":"2026-08-16T00:50:20.269377Z","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":"2026-08-16T00:50:20.863427Z","title":null,"venue":null,"work_id":"8c07e04e-9a49-453c-8b22-2350ad344da3","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.272420Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:bb0e6576b661a211254ce650946b63773404c7a27053499431aa9019919974e1","observation_id":"d0859c66-c081-4c28-b33e-4899480cbd82","resolution":{"observed_at":"2026-08-16T00:50:20.866662Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.275471Z","title":"Prediction-powered inference.Science, 382(6671):669–674, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.275471Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:f563dbaf7836237bc8a1f58b906132dd9c6a30729e1b25c0150d4a2524df9187","observation_id":"8cb1fd3b-899f-46b9-8230-08979dbbc936","resolution":{"observed_at":"2026-08-16T00:50:20.275471Z","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":"2026-08-16T00:50:20.847438Z","title":null,"venue":null,"work_id":"5cbc533c-ee5b-4fe6-bcbf-4e00209e0b0b","year":2024},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.278581Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:983fdc2b9bc97f408cb9c8f09b3c327a1dc5b15cbd2b44f36cc134eb6e1df6d2","observation_id":"78496e82-45ca-4980-9a29-1613ce5cfe04","resolution":{"observed_at":"2026-08-16T00:50:20.850813Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.838087Z","title":"Natural language processing","venue":null,"work_id":"ac0a2047-7d6d-44fc-bf3c-98acf4e98311","year":2019},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.281586Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:0facaf926044c5f9ed23967de3df2be9ec314cc800ed5842fa60e7f029ad74a8","observation_id":"86a3d642-0206-4e9f-8d43-6e4ded261734","resolution":{"observed_at":"2026-08-16T00:50:20.841300Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.828430Z","title":"A survey on sentiment analysis methods, applications, and challenges","venue":null,"work_id":"240a85fd-44af-4554-9ead-7a844a9c11ae","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.284926Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:c1c28ed4f7d27f1ccaffe3cc1f4c91bb287a593af2ac1c3e3936cc7992ab5485","observation_id":"9f9ec7dd-8f61-4bba-b31d-4e65356f859c","resolution":{"observed_at":"2026-08-16T00:50:20.831925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.818534Z","title":"Analytical mapping of opinion mining and sentiment analysis research during 2000–2015.Information Processing & Manage- ment, 53(1):122–150, 2017","venue":null,"work_id":"2d987266-772a-4985-8f5c-e40adf35fb82","year":2000},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.287852Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:01a1cae3a4fa4449d626e9e206134a3923b5ae7acf2ade50090f845c6cfb205e","observation_id":"e2a6f556-4b2f-4daf-af19-852134312f7d","resolution":{"observed_at":"2026-08-16T00:50:20.821919Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.808734Z","title":"Text classification algorithms: A survey.Information, 10(4):150, 2019","venue":null,"work_id":"6d71c79d-fc1e-4e13-b43e-9828f483d904","year":2019},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.290857Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b3a16981a5ae53d892abe4341387848a8e0d344ebc224e9746cd30dfe37c1888","observation_id":"6dfc099e-fbe6-438c-885d-2f0649c4a95b","resolution":{"observed_at":"2026-08-16T00:50:20.812278Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.293656Z","title":"Attention is all you need.Advances in neural information processing systems, 30, 2017","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.293656Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:bbc9924d60d43a8ca42df7f5a286df9bb43c841295448dd461364b3ce3ef8510","observation_id":"9af1b7d3-e1c9-4511-8913-f74f0a506c6e","resolution":{"observed_at":"2026-08-16T00:50:20.293656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.04805","last_updated":"2019-05-24T20:37:26Z","snapshot_observed_at":"2026-08-14T18:16:28.847993Z","submitted_at":"2018-10-11T00:50:01Z","title":"BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.04805","snapshot_observed_at":"2026-08-16T00:50:20.296903Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding.arXiv preprint arXiv:1810.04805, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.296903Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:d91accfb9093ef39e9b65ae553db62c7473935cd10e244d4ab6376917ea6e63a","observation_id":"fd34a4a7-c9c2-4f61-b165-01e7fa2b27ff","resolution":{"observed_at":"2026-08-16T00:50:20.296903Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1907.11692","last_updated":"2019-07-26T17:48:29Z","snapshot_observed_at":"2026-08-16T14:33:50.657682Z","submitted_at":"2019-07-26T17:48:29Z","title":"RoBERTa: A Robustly Optimized BERT Pretraining Approach","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1907.11692","snapshot_observed_at":"2026-08-16T00:50:20.300243Z","title":"Roberta: A robustly optimized bert pretraining approach","venue":null,"work_id":null,"year":1907},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.300243Z"},"links":{"cited_paper":"/paper/1907.11692","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:f128b251ff35ef80b2b132b49072bcc4c609e2fce792fe76fed55bd1589bc50c","observation_id":"f3b13228-899e-4d03-95ee-5b69b0d3a37f","resolution":{"observed_at":"2026-08-16T00:50:20.300243Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.10676","last_updated":"2019-09-10T18:10:35Z","snapshot_observed_at":"2026-08-19T00:15:35.604748Z","submitted_at":"2019-03-26T05:11:46Z","title":"SciBERT: A Pretrained Language Model for Scientific Text","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.10676","snapshot_observed_at":"2026-08-16T00:50:20.303709Z","title":"SciBERT: A pretrained language model for scientific text","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.303709Z"},"links":{"cited_paper":"/paper/1903.10676","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:6d269bed31177ec34533bfacf5b8a7cf447b45ebfeb1bc657e16b68cdde4f626","observation_id":"446b101f-9130-488d-9bad-43690a80bd3d","resolution":{"observed_at":"2026-08-16T00:50:20.303709Z","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":"2026-08-16T00:50:20.792853Z","title":null,"venue":null,"work_id":"7678a436-278b-48db-960a-41e6472c8a36","year":2019},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.306840Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:6c7a212000492423be22dd39d75f9c3da95c2654317a8a6b18570df62acc7167","observation_id":"52a74d36-ab8c-4b1b-8044-30242952d646","resolution":{"observed_at":"2026-08-16T00:50:20.796080Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.783317Z","title":"A survey on text classification algorithms: From text to predictions.Information, 13(2):83, 2022","venue":null,"work_id":"ddb1fa81-474d-4a8c-8905-3440dc4ec30f","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.309882Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:3a666b3f041cda33d84a67a9cdaba26f9f891e9ec278ee2ffbd0a2b9092b4fc8","observation_id":"b91590fa-2f8d-4c74-ad21-a5252654b928","resolution":{"observed_at":"2026-08-16T00:50:20.786701Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.773210Z","title":"Chatgpt for Text Annotation? Mind the Hype!SocArXiv preprint, 2023","venue":null,"work_id":"f06ec154-9239-40b5-b69d-8dee416781dd","year":2023},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.312871Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b92cacde24c8ec30fff2e81e1434eb14146e248578a716f3adeecbe671fcc91f","observation_id":"8aa7d7ad-7589-4d05-8993-fc84853e18a2","resolution":{"observed_at":"2026-08-16T00:50:20.776960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.763298Z","title":"A survey of text classification with transformers: How wide? how large? how long? how accurate? how expensive? how safe? IEEE Access, 12:6518–6531, 2024","venue":null,"work_id":"c4adde2b-968b-486d-869c-67c734344053","year":2024},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.315973Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:3af3cb8353981d8fe0099730e354e3395826e53d0e9536b5fed19b5fb637680c","observation_id":"6f12fc2c-ff3c-454e-a1b5-c3a2445f8191","resolution":{"observed_at":"2026-08-16T00:50:20.766928Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.753289Z","title":"Are chatbots reliable text annotators? sometimes.PNAS nexus, 4(4):pgaf069, 2025","venue":null,"work_id":"ee8913d3-e33a-4998-a2ff-e3d0c2dea9b1","year":2025},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.319286Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:d823fed368999f9f046155bf674ab1ea8ee5b913f813e1abedb60658f25d9eb0","observation_id":"bc168501-2f57-43bb-addb-77cc63ad7302","resolution":{"observed_at":"2026-08-16T00:50:20.757050Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.322782Z","title":"From words to watts: Benchmarking the energy costs of large language model inference","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.322782Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b89a8cc6a567dd4a436e59a996d588eb34b996d9a43a61929034fad11b0b1b5a","observation_id":"f840abff-3936-43ec-8080-a77dea6440f6","resolution":{"observed_at":"2026-08-16T00:50:20.322782Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1812.10422","last_updated":"2018-12-13T11:02:01Z","snapshot_observed_at":"2026-08-14T17:44:15.823566Z","submitted_at":"2018-12-13T11:02:01Z","title":"Machine Learning in Official Statistics","version":1},"cited_work":{"arxiv_id":"1812.10422","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.10422","snapshot_observed_at":"2026-08-16T00:50:20.622920Z","title":"Machine Learning in Official Statistics","venue":"cs.CY","work_id":"78a9f6de-3a1b-40f4-8f6d-01314020e983","year":2018},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.325950Z"},"links":{"cited_paper":"/paper/1812.10422","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:6d1233a663cd83ceabf754216fb3e1243ebee1e9e9a32594eea224fafe54a810","observation_id":"9dd4dfca-f7d2-434f-9a14-b7dca8b39c25","resolution":{"observed_at":"2026-08-16T00:50:20.628259Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.737141Z","title":"Model-assisted survey regression estimation with the lasso","venue":null,"work_id":"3f2670d3-14fa-44fd-b1ea-d48263859fdb","year":2017},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.329356Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b87b83d7380a0321742be1155a4729684b90311aec0ef9a813599562fcbaae5d","observation_id":"2f0db9f6-a741-4112-ba87-de7e793afd1c","resolution":{"observed_at":"2026-08-16T00:50:20.740539Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.727578Z","title":"Brottsbalken [Swedish Penal Code], 1962","venue":null,"work_id":"c060c30e-b09c-415a-86c1-b32dcd00cf7e","year":1962},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.332275Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:2a639f9a4149dad8ce84ad40728401f2af0ac8cf0def9c4eaa7c3c351f76ee13","observation_id":"22767710-0215-4ada-8098-48ab8e0e9f86","resolution":{"observed_at":"2026-08-16T00:50:20.730890Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.717378Z","title":"Reference we need to fix","venue":null,"work_id":"3dfac832-1dbe-49dc-b12b-0e26c4a92cea","year":null},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.335186Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:1b3d94bd566bdc20e51335977e5654ff1d8be0b6835600b5e142f4d2e239b1e5","observation_id":"a891bc98-ebee-4d01-8c62-d7fdede44d18","resolution":{"observed_at":"2026-08-16T00:50:20.720694Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+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":"2026-08-16T00:50:20.707545Z","title":null,"venue":null,"work_id":"7d85367d-6c0d-410f-a37b-c303ac26cd76","year":2018},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.338549Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b3ee22157c6f0dbc706d530f27fa4baafdf2394252287069f38011ed1033d1fb","observation_id":"af94f250-2ccb-41c2-adbf-e62e5e9a28d9","resolution":{"observed_at":"2026-08-16T00:50:20.711120Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2007.01658","last_updated":"2020-07-03T12:53:39Z","snapshot_observed_at":"2026-08-13T20:15:28.534745Z","submitted_at":"2020-07-03T12:53:39Z","title":"Playing with Words at the National Library of Sweden -- Making a Swedish BERT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2007.01658","snapshot_observed_at":"2026-08-16T00:50:20.341608Z","title":"Playing with Words at the National Library of Sweden - Making a Swedish BERT.arXiv preprint arXiv:2007.01658, 2020","venue":null,"work_id":null,"year":2007},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.341608Z"},"links":{"cited_paper":"/paper/2007.01658","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:dbb66daebc132bf6485d53660aeb5f7a66f4e5830378e100bf264efeb03de85b","observation_id":"42fc3920-6384-47f0-ab4e-3723ba018487","resolution":{"observed_at":"2026-08-16T00:50:20.341608Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.10964","last_updated":"2020-05-05T22:00:44Z","snapshot_observed_at":"2026-08-17T15:18:00.337430Z","submitted_at":"2020-04-23T04:21:19Z","title":"Don't Stop Pretraining: Adapt Language Models to Domains and Tasks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.10964","snapshot_observed_at":"2026-08-16T00:50:20.345000Z","title":"Don’t stop pretraining: Adapt language models to domains and tasks","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.345000Z"},"links":{"cited_paper":"/paper/2004.10964","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:76e6ed0e43e74fdfefd5b22f99f317ada38a0c0e37058a57083eb37e25227e03","observation_id":"acc7c43f-7b54-4e19-aefc-a299da6a4575","resolution":{"observed_at":"2026-08-16T00:50:20.345000Z","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":"2026-08-16T00:50:20.697202Z","title":"Learning from positive and unlabeled data: A survey.Machine Learning, 109(4):719–760, 2020","venue":null,"work_id":"26dd3e55-55d2-4863-a8c1-ab820869a627","year":2020},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.348738Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:9aa653874fc5d07787f1c708d26d3772484b21ab25afa3b868ec2f459c0656dc","observation_id":"9beb0054-3537-4810-9707-346f6cc18c68","resolution":{"observed_at":"2026-08-16T00:50:20.701107Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.351827Z","title":"Decoupled Weight Decay Regularization","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.351827Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:25149b72d2d1b62b8c1db5ff21ca44da9d1ef9edccd0e2b3f6969a3818ca10a2","observation_id":"621a5356-bda4-4ea8-bd53-78c721fea427","resolution":{"observed_at":"2026-08-16T00:50:20.351827Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.05101","last_updated":"2019-01-04T21:01:49Z","snapshot_observed_at":"2026-08-14T20:13:52.872565Z","submitted_at":"2017-11-14T14:24:06Z","title":"Decoupled Weight Decay Regularization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.05101","snapshot_observed_at":"2026-08-16T00:50:20.354811Z","title":"Decoupled weight decay regularization","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.354811Z"},"links":{"cited_paper":"/paper/1711.05101","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:42da61d7eea786b448fb9dd568cac727b6edbf5833baa8fc4b9bad9734816f37","observation_id":"fcfa8d9f-a7fe-4391-a8a1-c3ddc0497009","resolution":{"observed_at":"2026-08-16T00:50:20.354811Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.357900Z","title":"Deep Learning","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.357900Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:be3992a956f6ac6f3734dd3fdf7d0a9c9eb401838ec0cf50166c4fdd02cdad07","observation_id":"31d6ecee-6c23-4ebb-a616-5edc0044982c","resolution":{"observed_at":"2026-08-16T00:50:20.357900Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.02559","last_updated":"2020-10-06T09:06:07Z","snapshot_observed_at":"2026-08-18T18:14:16.759104Z","submitted_at":"2020-10-06T09:06:07Z","title":"LEGAL-BERT: The Muppets straight out of Law School","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.02559","snapshot_observed_at":"2026-08-16T00:50:20.360901Z","title":"LEGAL-BERT: The muppets straight out of law school","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.360901Z"},"links":{"cited_paper":"/paper/2010.02559","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:d28175afe4fe7eed1c702296648bf40744e308bf5237451d36b7b9be5810f6d5","observation_id":"21592842-1017-4448-adf6-b0fc979e9965","resolution":{"observed_at":"2026-08-16T00:50:20.360901Z","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":"2026-08-16T00:50:20.674015Z","title":"Downstream task performance of BERT models pre-trained using automatically de-identified clinical data","venue":null,"work_id":"64f4f5f6-edfd-491a-8b48-ee4697497c14","year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.363926Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:8e735f15840fceb3e264e71c7e382d1a96016d6f48034ba03b164b8833fddc31","observation_id":"244563db-aefa-4619-94e5-75035638777b","resolution":{"observed_at":"2026-08-16T00:50:20.677749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2202.08005","last_updated":"2023-02-10T06:51:56Z","snapshot_observed_at":"2026-08-16T17:20:53.529877Z","submitted_at":"2022-02-16T11:42:34Z","title":"Should You Mask 15% in Masked Language Modeling?","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.08005","snapshot_observed_at":"2026-08-16T00:50:20.366879Z","title":"Should you mask 15% in masked language modeling?arXiv preprint arXiv:2202.08005, 2022","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.366879Z"},"links":{"cited_paper":"/paper/2202.08005","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:63d037e53e870739f05707d457663276f4418aeb1ad3ba1b5133d8b97e5e77cc","observation_id":"5747d097-8663-4dab-b6b8-ab77c3e83ad4","resolution":{"observed_at":"2026-08-16T00:50:20.366879Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.370180Z","title":"Spanbert: Improving pre-training by representing and predicting spans.Transactions of the association for computational linguistics, 8:64–77, 2020","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.370180Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:3c37614994698f4427fa41da2ca17005278a82e1d13ccf86620f2d228a00aa07","observation_id":"a80e29c9-8aaa-46c6-8748-dcf002f5866d","resolution":{"observed_at":"2026-08-16T00:50:20.370180Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1909.11942","last_updated":"2020-02-09T03:00:18Z","snapshot_observed_at":"2026-08-18T01:27:11.590348Z","submitted_at":"2019-09-26T07:06:13Z","title":"ALBERT: A Lite BERT for Self-supervised Learning of Language Representations","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1909.11942","snapshot_observed_at":"2026-08-16T00:50:20.373367Z","title":"Albert: A lite bert for self-supervised learning of language representations","venue":null,"work_id":null,"year":1909},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.373367Z"},"links":{"cited_paper":"/paper/1909.11942","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:842bef5899b51d3112e65a15c613ff59dcfe7f3223f8bafda939a21967bdc1df","observation_id":"1875399e-a3f1-4356-ba75-abeb54b99dfe","resolution":{"observed_at":"2026-08-16T00:50:20.373367Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2010.01825","last_updated":"2020-10-05T07:19:52Z","snapshot_observed_at":"2026-08-18T02:25:40.822583Z","submitted_at":"2020-10-05T07:19:52Z","title":"PMI-Masking: Principled masking of correlated spans","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2010.01825","snapshot_observed_at":"2026-08-16T00:50:20.376786Z","title":"Pmi-masking: Principled masking of correlated spans.arXiv preprint arXiv:2010.01825, 2020","venue":null,"work_id":null,"year":2010},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.376786Z"},"links":{"cited_paper":"/paper/2010.01825","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:509cbedb45f78012075d9707b7e70a21a8cd849824c449a5b591bd0346d33511","observation_id":"a6fba7ed-d06c-417c-87f9-a6c99344195a","resolution":{"observed_at":"2026-08-16T00:50:20.376786Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2104.07705","last_updated":"2021-09-09T13:55:14Z","snapshot_observed_at":"2026-08-16T18:31:16.803583Z","submitted_at":"2021-04-15T18:17:12Z","title":"How to Train BERT with an Academic Budget","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2104.07705","snapshot_observed_at":"2026-08-16T00:50:20.379928Z","title":"How to train BERT with an academic budget","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.379928Z"},"links":{"cited_paper":"/paper/2104.07705","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:315b7912ba33a743879934242e5b43bf4ee64e8dce1e6eb612ed5720d9c44838","observation_id":"453a4e5f-1dc6-41ba-a42e-07c54a7a8860","resolution":{"observed_at":"2026-08-16T00:50:20.379928Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.383168Z","title":"Language models are few-shot learners","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.383168Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:59fc34f0742b241ed3d47c736077e8782ec258ef2cb21879d4b04857cb0545c2","observation_id":"9f67f547-495c-42ed-afea-35a08df04ffc","resolution":{"observed_at":"2026-08-16T00:50:20.383168Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2302.13971","last_updated":"2023-02-27T17:11:15Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-02-27T17:11:15Z","title":"LLaMA: Open and Efficient Foundation Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2302.13971","snapshot_observed_at":"2026-08-16T00:50:20.386545Z","title":"Llama: Open and efficient foundation language models.arXiv preprint arXiv:2302.13971, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.386545Z"},"links":{"cited_paper":"/paper/2302.13971","citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:b1ec2f90a390ed8036d8020ad58b9fdd27d71c215b4ac46c2013a94710cd99f0","observation_id":"f2d39156-42fe-4fae-a7be-3c77a2db19c7","resolution":{"observed_at":"2026-08-16T00:50:20.386545Z","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":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-16T00:50:20.389643Z","title":"not hate crime","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-16T00:50:20.389643Z"},"links":{"citing_paper":"/paper/2505.04643"},"observation_digest":"sha256:f71b3a6179e30432f018959dc606acd7b6642e17e4239c2d905472110d707cef","observation_id":"9f799dd6-a32e-48a9-ae47-383eb9f03de0","resolution":{"observed_at":"2026-08-16T00:50:20.389643Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2505.04643","last_updated":"2025-05-05T16:39:24Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T06:44:47.255888Z","submitted_at":"2025-05-05T16:39:24Z","title":"Prediction-powered estimators for finite population statistics in highly imbalanced textual data: Public hate crime estimation"},"reference_resolution":{"displayed":57,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":26,"verified_exact":1,"verified_fuzzy":30},"total_outbound_references":57},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 1 inbound Pith citation observation for arXiv:2505.04643."}