{"as_of":"2026-08-21T16:48:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4882c7a5417654d6b9fb52b4435ebd624f5d9d6ad6e91dee3c8903b72bc8d9b0","coverage":[{"denominator":34,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":34,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:03:21.363224Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+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":"2026-08-07T14:03:18.341859Z","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":"2026-08-07T14:03:22.040464Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.20109","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.20109","snapshot_observed_at":"2026-08-07T14:03:22.040464Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","venue":"cs.CL","work_id":"7d986269-c03d-4fd0-9e88-8a84a9de57b8","year":2025},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.341859Z"},"links":{"cited_paper":"/paper/2505.20109","citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:0f9de04b7c4dc06897c3fc6299b9bc47a3bdaabffba0e09b5cd1606d9f8d0a01","observation_id":"2af5e69c-d8f2-493f-b612-ba69a6482f67","resolution":{"observed_at":"2026-08-07T14:03:22.123324Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.20109/citation-record","integrity":"/paper/2505.20109/integrity","json":"/paper/2505.20109/citation-record.json","paper":"/paper/2505.20109"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:27.032738Z","title":"According to statistics from the World Health Orga- nization, suicide is the fourth leading cause of death among in- dividuals aged 15–19, affecting both genders [1]","venue":null,"work_id":"4822fdc6-a98e-4374-a02a-fc8be6bf7785","year":2007},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.099943Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:76b1ee2655569b06e77284ec6be14ba2e1d539d880413731846a0c14180f614c","observation_id":"eb5d317b-4935-41a3-9526-015c57816903","resolution":{"observed_at":"2026-08-07T14:03:27.119984Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"cited_work":{"arxiv_id":"2505.20109","doi":null,"metadata_source":"pith","pith_arxiv_id":"2505.20109","snapshot_observed_at":"2026-08-07T14:03:22.040464Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","venue":"cs.CL","work_id":"7d986269-c03d-4fd0-9e88-8a84a9de57b8","year":2025},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.341859Z"},"links":{"cited_paper":"/paper/2505.20109","citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:0f9de04b7c4dc06897c3fc6299b9bc47a3bdaabffba0e09b5cd1606d9f8d0a01","observation_id":"2af5e69c-d8f2-493f-b612-ba69a6482f67","resolution":{"observed_at":"2026-08-07T14:03:22.123324Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:26.585048Z","title":"A high-level architecture of our approach is shown in Figure 1","venue":null,"work_id":"bdee1163-c668-4501-9f6d-a1000ef5281e","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.416185Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:ca080e5d3d41fb70f0f108fe5cbaba0ddae266275b54a14d2723c9e420842a7a","observation_id":"9741e45c-f2d1-4d5d-a5c4-c9a4b9f54640","resolution":{"observed_at":"2026-08-07T14:03:26.691931Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:26.350464Z","title":"Text Modality The experimental results in Table 3 demonstrate the dev set performance of various pretrained language models on the sui- cidal risk assessment on ER and ED tasks","venue":null,"work_id":"3857a13d-85f9-498f-a35e-ed5c6c18f59c","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.532034Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:236d0306bde2df62e8500ad2ff8d6d5f8b5672e2c7fdca008cbae033233e6233","observation_id":"6bb69690-69b4-49f7-9089-cb388ae266ba","resolution":{"observed_at":"2026-08-07T14:03:26.478161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:26.139114Z","title":"Limitation Statement The findings presented in this study are based on the scoring framework of the MINI-KID scale, which assesses current sui- cide risk as at risk or no risk","venue":null,"work_id":"c0ffe5af-fc65-4ecf-93bb-811f70239a41","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.634235Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:fe738641407f8a594262cd0a0ddab28e1e3d1d75e71f923c18c7905a145c65b8","observation_id":"6581494b-7710-489d-bb9d-9619f623ec47","resolution":{"observed_at":"2026-08-07T14:03:26.235342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.976765Z","title":null,"venue":null,"work_id":"6e5caeda-ec11-48eb-bdab-236967a9d79e","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.721742Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:5c51740276f5e43fbc76bd1814701c81ef6b711bd51c63f8ea1e3a7afab328cc","observation_id":"6d23eaa3-e7e4-4656-ae37-b25eab6cc49c","resolution":{"observed_at":"2026-08-07T14:03:26.088516Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.816241Z","title":null,"venue":null,"work_id":"2c690ede-83ee-4c29-a004-4f4cad2ff2f0","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.813005Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:4b1bc7db0f03c0839f4e24b1a58b09c98edfb5d2c776666860f0ce147abc0134","observation_id":"b4bd41e7-a53a-4fea-a9f7-a39e7198f293","resolution":{"observed_at":"2026-08-07T14:03:25.894914Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.402378Z","title":"Opi@lt-edi-acl2022: De- tecting signs of depression from social media text using roberta pre-trained language models,","venue":null,"work_id":"72639073-aeaa-4811-a840-f3f9504c1e7c","year":2022},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.618490Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:47d325f4cc0ba7733b7c988e61e1f3802074f1a872ca412867103db9b328e4a4","observation_id":"96f7cc20-2a7c-4cc0-86f9-e77ed384adf3","resolution":{"observed_at":"2026-08-07T14:03:24.480157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.650761Z","title":"Suicide worldwide in 2019: global health estimates,","venue":null,"work_id":"ff279fa5-29d7-40f0-8418-f7e403ae11bc","year":2019},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.918313Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:3235f6c869f39c68f37f9b9115d6a81d42f1bd5c83397aabe93056bb1e7117f9","observation_id":"05a3762d-1136-4537-8980-e4221722d9ec","resolution":{"observed_at":"2026-08-07T14:03:25.708633Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.417699Z","title":"Suicide and homicide death rates among youth and young adults aged 10–24: United states, 2001– 2021,","venue":null,"work_id":"24bb6394-2d87-43c5-ac61-c00415a68654","year":2001},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.064532Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:cff811de292113f8b4f9ead597438f0d2fbbfd2fca823ba3ea699776e4cef715","observation_id":"e15ed102-7a5e-4659-b70d-de9a2e7d422b","resolution":{"observed_at":"2026-08-07T14:03:25.520965Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.247732Z","title":"Temporal trend in suicide mortality for chinese adolescents, 2008 to 2021,","venue":null,"work_id":"5315eda6-e11a-4627-8f73-a8ab7f26895e","year":2008},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.135294Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:0cea083202cbd42f65bda218907f0e85cf4d49e5bab9bbeac2e5982953b9a9c5","observation_id":"b5fa534d-78ac-4ad9-98bb-277fb74f2956","resolution":{"observed_at":"2026-08-07T14:03:25.319700Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:25.100898Z","title":"A review of suicide risk assessment tools and their measured psychometric properties in korea,","venue":null,"work_id":"4318f2c2-5a0e-4eb1-96bd-e675997e58d9","year":2021},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.247020Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:5b89bf6f825567223807a0118fca2461d08e585a235774ccaea37c3f06e772ef","observation_id":"86614667-f1b8-477b-9b19-be2524cb1977","resolution":{"observed_at":"2026-08-07T14:03:25.161936Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.925448Z","title":"Suicide risk assessment tools, predictive validity findings and utility today: time for a revamp?","venue":null,"work_id":"3ff6f47c-aa75-451e-99e5-0ab67ddaa755","year":2013},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.356634Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:4cb3fd63278335a56ebee4feec92a9fecfb86f4ac8f5e2b642eba4f5e1c1ea39","observation_id":"be849611-77fd-4783-a70d-5401c4ed62d9","resolution":{"observed_at":"2026-08-07T14:03:25.011885Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.746328Z","title":"Factors in the assessment of suicidality in youth,","venue":null,"work_id":"4c17e884-41af-4c2e-aeb0-1536f8f7aafe","year":2007},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.438272Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:e6e09c5d2069a5e3e75e09292493eff97b4c203ee03f4f20b4b4f2d2a027439d","observation_id":"c45e66df-8848-48c4-af90-152509feee75","resolution":{"observed_at":"2026-08-07T14:03:24.825605Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.597711Z","title":"Automated assessment of psychiatric disorders using speech: A systematic review,","venue":null,"work_id":"561f37ee-6c71-49f4-9915-e0dea29129ea","year":2019},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.508601Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:415646656d68b5902da93a27e3a4f8d7aded9dbfb8e7598b319ca8c4592b3572","observation_id":"54844766-9d4d-4640-8ce6-cef01d8aed68","resolution":{"observed_at":"2026-08-07T14:03:24.670686Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:22.810020Z","title":"Artificial intelligence for suicide assessment using audiovisual cues: a review,","venue":null,"work_id":"631d4be9-1113-49d8-a728-df735c700f83","year":2022},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.457467Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:ff745e7f856188e62e02ada0894971e2055b3d7ecf9432595ba33afe8e275633","observation_id":"700129d2-d40b-46a2-a4c8-1175165fa50b","resolution":{"observed_at":"2026-08-07T14:03:22.890792Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.254800Z","title":"Exploring the capabilities of a language model- only approach for depression detection in text data,","venue":null,"work_id":"92f358b9-8f34-4c73-9dab-5256052b70b4","year":2023},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.724167Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:245d1bc6d70f8dc4d85026b35227e36342d71d39ef8401c33094466e0b1d3483","observation_id":"9a4396b5-66ed-459b-a8a3-d612e9fc0e6b","resolution":{"observed_at":"2026-08-07T14:03:24.316496Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:24.080568Z","title":"Harnessing multimodal approaches for depression detection using large language models and facial expressions,","venue":null,"work_id":"9d7de647-7dd2-4d3b-9b46-786cffbc2be8","year":2024},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.833731Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:489561860c3133f047053a8a7ad022687bc6972294fc64316e0e83ed9292964e","observation_id":"417160c7-26f3-4d62-9d68-2e484018a874","resolution":{"observed_at":"2026-08-07T14:03:24.150471Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:23.794823Z","title":"Depression diagnosis: Eeg- based cognitive biomarkers and machine learning,","venue":null,"work_id":"d44fa984-772d-43b9-b609-7141b949fbb0","year":2024},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:19.935725Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:6aa7b1c43167625b8e09d5c57f39dc5cd775543c6af1c624015d78208ad60bb7","observation_id":"6c1d7551-2276-4e67-91fc-4d5ce76a88d5","resolution":{"observed_at":"2026-08-07T14:03:23.935297Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:23.631724Z","title":"Depression detection and diagnosis based on electroencephalogram (eeg) analysis: A systematic review,","venue":null,"work_id":"69a23a41-30da-4aeb-ac72-b5857d764638","year":2025},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.025483Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:24e6cf1a30ab8f128e5cd6659f818f3ae2edd179f0422d9920d328df46bef612","observation_id":"52b05f6a-2349-4bcf-8d01-568a2f7562ff","resolution":{"observed_at":"2026-08-07T14:03:23.702868Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:23.443479Z","title":"Read speech voice quality and disfluency in individuals with recent suicidal ideation or suicide attempt,","venue":null,"work_id":"ecc62d25-a0dc-46d8-92b6-de6c27345fa9","year":2021},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.151234Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:2a7ce316067efd093e6c056245f331dc1f698c6b949938e71a628c79099f73c8","observation_id":"e83fee8d-d11b-444e-9411-99a0273a4760","resolution":{"observed_at":"2026-08-07T14:03:23.542345Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:23.121752Z","title":"Investigating the speech characteristics of suicidal adolescents,","venue":null,"work_id":"d844dc72-86fe-4953-9491-a37723cbfe27","year":2013},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.253305Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:873ed84d4d434ae8fe334096bd454ef7c828559b5fbf91e46139e07a62a7db5c","observation_id":"25c0e98e-7f2d-472a-8ac7-672301405113","resolution":{"observed_at":"2026-08-07T14:03:23.308588Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:22.969196Z","title":"Adolescent suicidal risk assessment in clinician- patient interaction,","venue":null,"work_id":"af990562-8ad4-4729-a95e-e14690f7c917","year":2017},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.361129Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:be783db7ec43ec8c4caee6e22111db30277fdcb8fc4f5d888a429a57e3b48b5f","observation_id":"578ff42c-400e-4f88-a866-5b7c64e95492","resolution":{"observed_at":"2026-08-07T14:03:23.025784Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:22.238294Z","title":"Unsupervised cross-lingual representation learning for speech recognition,","venue":null,"work_id":"f5ac0327-747d-4401-b15e-c8cca2fa1247","year":2021},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:21.188877Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:721a621b5a7cdcf3618ca11d73bf5b7ff36e8be913431a7b9db7f4576d19f3ec","observation_id":"ae9a44e2-c461-4e82-8c6a-c4f706238bb2","resolution":{"observed_at":"2026-08-07T14:03:22.350130Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03882","last_updated":"2024-07-09T15:54:55Z","snapshot_observed_at":"2026-08-17T03:07:47.354676Z","submitted_at":"2024-06-06T09:21:13Z","title":"Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03882","snapshot_observed_at":"2026-08-07T14:03:20.562172Z","title":"Spontaneous speech-based sui- cide risk detection using whisper and large language mod- els,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.562172Z"},"links":{"cited_paper":"/paper/2406.03882","citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:ba067720edebe7ec82e32551eddbfced8e5378a5e8e1ff508b40c39e83e2d22f","observation_id":"d8d8dd56-0e50-4ecf-9109-433a2599f081","resolution":{"observed_at":"2026-08-07T14:03:20.562172Z","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":"2409.17397","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:21.831776Z","title":"Sever- ity prediction in mental health: Llm-based creation, analysis, evaluation of a novel multilingual dataset,","venue":null,"work_id":"0b27e124-c39b-4afd-ae69-0a3e3e5e5809","year":2024},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.675321Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:7cbf6b8ee817777b052b81452f80a2d185e8fddc7c9d349662098243ac866c9b","observation_id":"6f930313-28b3-445f-a001-00f718cd06ae","resolution":{"observed_at":"2026-08-07T14:03:21.915751Z","resolver_source":"raw_fallback","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.06164","last_updated":"2024-09-10T02:22:50Z","snapshot_observed_at":"2026-08-16T13:19:54.795946Z","submitted_at":"2024-09-10T02:22:50Z","title":"Deep Learning and Large Language Models for Audio and Text Analysis in Predicting Suicidal Acts in Chinese Psychological Support Hotlines","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.06164","snapshot_observed_at":"2026-08-07T14:03:20.767221Z","title":"Deep learning and large language models for audio and text analysis in predicting suicidal acts in chinese psychological support hotlines,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.767221Z"},"links":{"cited_paper":"/paper/2409.06164","citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:2526b6e20f7410833f28a50b0b606909202635b293fef31a1703c3b18faa45f1","observation_id":"61320a93-7f3c-4c1e-8bd0-8aa26ddaa933","resolution":{"observed_at":"2026-08-07T14:03:20.767221Z","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":"2026-08-07T14:03:20.836239Z","title":"The 1st speechwellness challenge: Detecting sui- cidal risk among adolescents,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.836239Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:999a1ff2ea1b9e2189714e79322f5cfc1c5cd7e979bb1e52738062e42988a812","observation_id":"de88c4ef-bdd4-4bee-a61e-6110468aea02","resolution":{"observed_at":"2026-08-07T14:03:20.836239Z","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":"2026-08-07T14:03:22.622369Z","title":"Paraformer: Fast and accurate parallel transformer for non-autoregressive end-to- end speech recognition,","venue":null,"work_id":"b20265d2-1cdb-41cc-b44a-97322bc89f4b","year":2022},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.897789Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:a12e63763e22a2d2fe2f55275c060b3d4fd18fb1dce9e8cfaf31196e7c1637aa","observation_id":"baf06c6b-b2fe-41f2-8045-7c87188d4e77","resolution":{"observed_at":"2026-08-07T14:03:22.723187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"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":"2026-08-07T14:03:20.982304Z","title":"Bert: Pre-training of deep bidirectional transformers for language understanding,","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:20.982304Z"},"links":{"cited_paper":"/paper/1810.04805","citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:8aabd036c8c5b3f26b64280f030e4260b1a0e63f32e913689416b67a277b46fa","observation_id":"f651318e-d9ae-483c-97b0-840c4259d855","resolution":{"observed_at":"2026-08-07T14:03:20.982304Z","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":"2026-08-07T14:03:22.455100Z","title":"Uer: An open-source toolkit for pre-training models,","venue":null,"work_id":"1257915d-2b99-44f4-b240-af9671c452a7","year":2019},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:21.074979Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:fd2f4f12c3dc4c27c535019269e447904da907b77ecdd8266c2b6b942ce139a3","observation_id":"2ee9bfa4-8a41-46f5-b1ba-901338b5b6c4","resolution":{"observed_at":"2026-08-07T14:03:22.515860Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:03:21.270942Z","title":"Wavlm: Large-scale self- supervised pre-training for full stack speech processing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:21.270942Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:fbde9023b1bdea5770c00923902e4e4e5795274f854495872b2973f7b8a3e01e","observation_id":"e0b8d8d8-e65e-4921-8fac-f6f9d4be10d0","resolution":{"observed_at":"2026-08-07T14:03:21.270942Z","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":"2026-08-07T14:03:21.363224Z","title":"wav2vec 2.0: A framework for self-supervised learning of speech repre- sentations,","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:21.363224Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:6ecf0ddfabd817b6a7d16048174cfe82e09cdebf3757cbef7c28c65b64d542d8","observation_id":"4d4da5b0-350a-4785-9fc7-744d873793dc","resolution":{"observed_at":"2026-08-07T14:03:21.363224Z","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":"2026-08-07T14:03:26.797148Z","title":"Despite its significance, assessing suicidal risk remains largely subjective due to the lack of a definitive characteriza- tion of at-risk individuals","venue":null,"work_id":"db57d73d-add7-4c91-8d8f-ea4315bbc40c","year":null},"citing_paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models","version":1},"reference_index":2021,"source":"pdf_text","source_observed_at":"2026-08-07T14:03:18.240109Z"},"links":{"citing_paper":"/paper/2505.20109"},"observation_digest":"sha256:764194e7ed0cb4a5bf5ac2b82ee5212e7af1c6605340a06e5d99e0d982bd8c7d","observation_id":"d45fea3a-5344-4d16-ad8f-1b64ecac61c3","resolution":{"observed_at":"2026-08-07T14:03:26.886637Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.20109","last_updated":"2025-05-26T15:12:10Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T09:59:46.260106Z","submitted_at":"2025-05-26T15:12:10Z","title":"Language-Agnostic Suicidal Risk Detection Using Large Language Models"},"reference_resolution":{"displayed":34,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":8,"verified_exact":1,"verified_fuzzy":24},"total_outbound_references":34},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 21 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2505.20109."}