{"as_of":"2026-08-16T12:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:38e2d3fe6b04c95f83b0b439d47f3f1cfba194a683858aea3cd46c830d71b85c","coverage":[{"denominator":33,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":33,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T12:58:37.308394Z","state":"measured"},{"denominator":33,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":33,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-16T06:30:59.297886+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/1908.06137/citation-record","integrity":"/paper/1908.06137/integrity","json":"/paper/1908.06137/citation-record.json","paper":"/paper/1908.06137"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T12:58:39.236342Z","title":"Epidemiology and natural history of systemic sclerosis","venue":null,"work_id":"aebc0326-d97d-49cc-964d-1cba8bcbf1a6","year":1990},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.471401Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:4dcad53290fc622390f26220b3e15ee6ea76c6d25b4003f547158b9e8e02e974","observation_id":"47354301-77bc-46b3-bd74-e7af46bcd63b","resolution":{"observed_at":"2026-08-14T12:58:39.244276Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:39.214225Z","title":"Pulmonary arterial hypertension in systemic sclerosis: the need for early detection and treatment","venue":null,"work_id":"77712819-0e9a-4497-a3ad-83f1f9ea806c","year":2007},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.528684Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:ba3b6575e669ba633648493eb9150983289d0fd70d1c0537b122d5c93b51f9aa","observation_id":"9dd21758-8d5f-40e3-a684-34d923070e53","resolution":{"observed_at":"2026-08-14T12:58:39.220324Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:39.098150Z","title":"The clinical relevance of autoantibodies in scleroderma","venue":null,"work_id":"f8bec9bb-c9c0-48d8-b081-5a978ab0f9ec","year":2003},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.626732Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:9ed2a6e119b8a816c46d34ae280bddd442089e03cca1c905f0e280e2496b4ae2","observation_id":"98871443-9346-438b-b8e4-1acf6ecda80e","resolution":{"observed_at":"2026-08-14T12:58:39.197558Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.982536Z","title":"Incidence and preva- lence of systemic sclerosis: a systematic literature review","venue":null,"work_id":"d1b78653-bb75-4235-9438-c2e10f78147b","year":2008},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.634966Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:ee7e48c4365bb8a2c89867e82680fa477c6c87619c062af1cca43bfddba71825","observation_id":"63e14190-2472-4d3a-94d6-4c9aee5e6252","resolution":{"observed_at":"2026-08-14T12:58:39.022299Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.956416Z","title":"Biomedical applications of collagen","venue":null,"work_id":"d7c1968a-b011-41bd-8db0-b17eb27b9da0","year":2001},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.650134Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:9efd768b497b1324a1185bf34d835e89ec23b521b396ff5142c7bb164d350709","observation_id":"c173a5c7-1044-4f77-8321-531b4264fec5","resolution":{"observed_at":"2026-08-14T12:58:38.966068Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.925946Z","title":"Collagen structure and stability","venue":null,"work_id":"83b8dcdf-dcde-4799-9f7f-0ead0bdf1479","year":2009},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.654816Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:0a03345c7be5afc595cabc4555a4a62260754ef065f30ff5d0c18d7d08258454","observation_id":"452e3c47-6d4c-45bb-ae44-1d7b41b2f2e7","resolution":{"observed_at":"2026-08-14T12:58:38.932730Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.909030Z","title":"Preliminary criteria for the classiﬁcation of systemic sclerosis (scleroderma)","venue":null,"work_id":"57f29335-695f-4021-b506-b9976db74c75","year":1980},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.661428Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:487381c443e081f1fbd5bf7ad2c09d78c28c6800d71e2ba5667d4c51316bac8c","observation_id":"fd3678d7-aedb-42e2-b189-cb70c19a9053","resolution":{"observed_at":"2026-08-14T12:58:38.914669Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.894109Z","title":"Preliminary criteria for the very early diagnosis of systemic sclerosis: results of a delphi consensus study from eular scleroderma trials and research group","venue":null,"work_id":"0911d5a4-abd5-4a96-8c91-b0a1f4d2d2b0","year":2011},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.666585Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:fbf1570c55cfe39fd4aed34edaec044d38e9368b489b4f108e0fcb8ae731b30f","observation_id":"43078932-7bb9-4d2a-8b25-787caa9d12cb","resolution":{"observed_at":"2026-08-14T12:58:38.899205Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.761985Z","title":"2013 classiﬁcation criteria for systemic sclerosis: an american college of rheumatology/european league against rheumatism collaborative initiative","venue":null,"work_id":"3a65b101-6078-471d-806b-62f2c8b2cd46","year":2013},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.672901Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:ebb644cf01880e07f5233b2d73683180fdc4efb2b05d970790d037dd4d51e8ea","observation_id":"8af51c1d-d0a7-4a20-b271-a7c4ae948bf2","resolution":{"observed_at":"2026-08-14T12:58:38.850187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.594047Z","title":"Gene expression of types i and iii collagen, decorin, matrix metalloproteinases and tissue inhibitors of metalloproteinases in skin ﬁbroblasts from patients with systemic sclerosis","venue":null,"work_id":"e28edca7-7066-4b7d-8460-c3d5241177c7","year":1997},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.677424Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:5bc6534810be449bd766e825631933c85e6e4c6b7b003d8a742df006c99b642c","observation_id":"d7132a40-6c7e-4c19-a5c6-c8094fdb28a7","resolution":{"observed_at":"2026-08-14T12:58:38.605905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.550313Z","title":"Patologia oral e maxilofacial","venue":null,"work_id":"f8e6a362-8c8e-48f1-a6dd-451caca8d736","year":2016},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.722644Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:b5b0294c367a39e99d4ccde2502fa586baff8cd4f05a6c777dd39dce03cbbcfb","observation_id":"6adf7431-18c7-4bc8-90f1-6cc9a5568636","resolution":{"observed_at":"2026-08-14T12:58:38.563482Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.484437Z","title":"Small mouths","venue":null,"work_id":"d6dd3985-e1b4-40a3-a627-3ed6977f07b9","year":2007},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.772918Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:a1e8041c5187374a71256c94774900d3faebbc7ade2d86957f55d7819ae75c4c","observation_id":"09e27be6-77ab-4ce8-8c64-829eba38d5d7","resolution":{"observed_at":"2026-08-14T12:58:38.531451Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.404114Z","title":"Systemic sclerosis","venue":null,"work_id":"7ac741a4-b6b0-4170-87f5-b6d33c88f83d","year":2015},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.781302Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:8bc99e8c0573605f4744ff4bfaae2edb60d6ae413f286961e6339fc4cebd1f80","observation_id":"3a69a770-0de9-4424-856c-0fdae6225066","resolution":{"observed_at":"2026-08-14T12:58:38.416499Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.383822Z","title":"A study on oxygen saturation images constructed from the skin tissue of human hand","venue":null,"work_id":"3fd44124-d7c1-4e2f-b0b3-8578d1dc26bd","year":2013},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.791744Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:4f912cc22e44760ac35b60681bd06bacec73cf965999447e410762be3159c412","observation_id":"1dd06102-94a5-4fa6-bcf7-6a937ec016ea","resolution":{"observed_at":"2026-08-14T12:58:38.390610Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.315599Z","title":"Biomedical Photonics Handbook, 3 Volume Set","venue":null,"work_id":"45c23d34-995e-454e-8fdb-763a35e7e370","year":2014},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.878765Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:9bfb1253fafd33cb84b20341ed3fac918256581ef63d811d5248a5fcf64d066d","observation_id":"daa425f3-a3d0-469b-80d0-3c4531b0e8ec","resolution":{"observed_at":"2026-08-14T12:58:38.360753Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.214662Z","title":"Near- infrared diffuse optical tomography","venue":null,"work_id":"340ee620-36c3-48ec-8373-c198489cb851","year":2002},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.949663Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:8c505d80cf9ef0f7ee28302591b2ca79b521a443094ecee25501e2caf9eed68d","observation_id":"7bd102b1-09b3-457c-90cb-e0aae0d773d3","resolution":{"observed_at":"2026-08-14T12:58:38.250208Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.192897Z","title":"A review on continuous wave functional near-infrared spectroscopy and imaging instrumenta- tion and methodology","venue":null,"work_id":"d4c576ce-9099-40de-be6b-2daa350e63bc","year":2014},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.954906Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:3d63d8d42ece646d9dad91f50af905bfa23013f30c001ac6f0771f8b008007d9","observation_id":"3b1a1632-2011-467a-994c-59806acbe82b","resolution":{"observed_at":"2026-08-14T12:58:38.199022Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.150397Z","title":"An optimization perspec- tive on baseline removal for spectroscopy","venue":null,"work_id":"88df6604-3dfd-4622-be42-a28ff5c79a58","year":2015},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.960178Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:f44f8600dc62846178a6060646c1f493e180d9b432cc91496bdb795445fe460e","observation_id":"7f66e006-5787-4afd-b9fa-9e0330244168","resolution":{"observed_at":"2026-08-14T12:58:38.166371Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:38.041124Z","title":"A tutorial on support vector machines for pattern recognition","venue":null,"work_id":"f3aa00b4-5ecb-474a-844d-5c8607362380","year":1998},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.964918Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:218c8e182aafdb913a893b1c076ca8c4bc22f61341d0471e6e08088d34d2e9a1","observation_id":"38fcd271-55f2-4774-b3bd-5a22e8f14d26","resolution":{"observed_at":"2026-08-14T12:58:38.091100Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:36.970503Z","title":"Pedregosa, G","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.970503Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:9e7f160b7463935717a5bd6a3e5d00f63e72770b3b34479ec7e625660a453559","observation_id":"4880d2d0-4f57-4594-bd45-2a9031ce7d21","resolution":{"observed_at":"2026-08-14T12:58:36.970503Z","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":"2026-08-14T12:58:38.012867Z","title":"Libsvm: A library for support vector machines","venue":null,"work_id":"1db9f743-012c-4868-ae62-3d5de0e3d23d","year":2011},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.975787Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:ce11164a4c24d29185daff1796d589539fdb683a2199b6e3bac14e86633dea93","observation_id":"14e0ee3b-4056-41ba-905e-907cbd4fb3bb","resolution":{"observed_at":"2026-08-14T12:58:38.018391Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.927916Z","title":"Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods","venue":null,"work_id":"0b5804e4-6a4f-468d-a7a1-eb7de1a901b9","year":1999},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.981233Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:84fade8b270caec351325aaab03f4dad3f455312e1ea20c6dc60c8c80b8445c4","observation_id":"97caf7d3-56d9-429d-ba7e-28113993cc48","resolution":{"observed_at":"2026-08-14T12:58:37.980707Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.811292Z","title":"Gene selection for cancer classiﬁcation using support vector machines","venue":null,"work_id":"4ee15ecb-b437-4661-a2b7-dabb81cf4adf","year":2002},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:36.987129Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:c9a7172640ca992de7e752b2a3c36963932593375d8ca020e554d1652844f0a2","observation_id":"b925b221-6c49-4477-b78f-cbc2cfec54b3","resolution":{"observed_at":"2026-08-14T12:58:37.865170Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.792127Z","title":"On statistical bounds of heuristic solutions to location problems","venue":null,"work_id":"5955f6fa-bc83-4024-9a03-ca27a32b3dd5","year":2016},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.049265Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:3eee98ba9243f076993c40e0b36dbf799b67ac6d8240c708c0b5a41499c1da6d","observation_id":"00fc96bd-9782-4715-a3b6-333c505f9a91","resolution":{"observed_at":"2026-08-14T12:58:37.798030Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.770110Z","title":"Direct detection of singlet oxygen generated by uva irradiation in human cells and skin.Journal of Investigative Dermatology, 127(6):1498– 1506, 2007","venue":null,"work_id":"5cc8756b-22a3-45a5-8df5-3cebe2898bb6","year":2007},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.128125Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:d01529866d50b076401383ac72d208e82762518b2252e388fe45e190422e1c53","observation_id":"7c235e18-e59b-4b20-b3fe-1dc4d49ae141","resolution":{"observed_at":"2026-08-14T12:58:37.776534Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.641851Z","title":"Uva radiation-induced oxidative damage to lipids and proteins in vitro and in human skin ﬁbroblasts is dependent on iron and singlet oxygen","venue":null,"work_id":"147233ff-09d1-4683-a3b2-39040db2e92b","year":1995},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.136479Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:82c9c5cd3219b1932465e015460ce726249c4b2b20d45f59cc84c60b51e675e3","observation_id":"dba7dcca-1001-4057-a2ec-ef332b079578","resolution":{"observed_at":"2026-08-14T12:58:37.714866Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.596054Z","title":"Singlet oxygen-mediated damage to proteins and its consequences","venue":null,"work_id":"88cd3a69-fc45-4a37-b0a1-f617c98dfa11","year":2003},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.156514Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:1be48280e50e1165c3c8b12930d7e831cba75ea8cffd7cdf90ad7394032ee87f","observation_id":"1df093ba-7306-4500-9ce7-f076d950fe4b","resolution":{"observed_at":"2026-08-14T12:58:37.600519Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.579931Z","title":"Singlet oxygen stress in microorganisms","venue":null,"work_id":"30f7a22a-1927-4704-bd59-0b12587cd369","year":2011},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.267016Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:a2ce19cdfe10d36e743d5772325c133e085fe71569688a846c37c5b542df742a","observation_id":"7fc6a58a-b536-493a-a56c-96611c742d7a","resolution":{"observed_at":"2026-08-14T12:58:37.586187Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.565114Z","title":"Singlet oxygen induces collagenase expression in human skin ﬁbroblasts","venue":null,"work_id":"930903dc-9363-405e-8d86-9f96c7903c22","year":1993},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.270944Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:8c9bf37c228cd31bb23dac9ec42e962e44c05c1e967d6b9197c1094f913176fb","observation_id":"a2a8684f-5eac-41e3-b167-8db695f90491","resolution":{"observed_at":"2026-08-14T12:58:37.570149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.464399Z","title":"Kinetics of singlet oxygen photosen- sitization in human skin ﬁbroblasts","venue":null,"work_id":"a6bed4c3-445f-4578-891d-df3741a12043","year":1926},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.274596Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:ec32199a33092b86972f2f1851cd6a1b7aba6dd4bcbdf6064787fe91be3242ff","observation_id":"a6c90bb2-0a48-407d-b22f-e94f854fc6c7","resolution":{"observed_at":"2026-08-14T12:58:37.508992Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.441011Z","title":"A double-blind placebo-controlled trial of antioxidant therapy in limited cutaneous systemic sclerosis","venue":null,"work_id":"5affc2ec-29d6-44ff-8969-21a8ed9218f1","year":2000},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.278355Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:90179c96624cdf018d63fd62700f2711ab3d219b28592b8024b22eee26643c02","observation_id":"f6b8dd62-a60d-42e3-88b0-df18a7d8bf98","resolution":{"observed_at":"2026-08-14T12:58:37.445094Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.426740Z","title":"Oxygen free radicals and systemic autoimmunity","venue":null,"work_id":"1896789b-801a-47e7-8b22-cb71ec579aa6","year":2003},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.282593Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:56f436a88e4fd20f1e3f11de0741339d4c01d6e621eacf6b350135e2ae586d17","observation_id":"77da3844-cd53-4a08-b1fb-a5c116b10a18","resolution":{"observed_at":"2026-08-14T12:58:37.431063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+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":"2026-08-14T12:58:37.382073Z","title":"Review of short- wave infrared spectroscopy and imaging methods for biological tissue characterization","venue":null,"work_id":"a29aaab5-9ba3-4e89-a4d1-3a0da37f9f0c","year":2015},"citing_paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-14T12:58:37.308394Z"},"links":{"citing_paper":"/paper/1908.06137"},"observation_digest":"sha256:d529d7bd1c4bfab47d0964dc30013790cf808951ccbb5921f1e9ddaadc7f036d","observation_id":"901c4e75-6658-44fb-bf30-f5c085a98820","resolution":{"observed_at":"2026-08-14T12:58:37.416781Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"1908.06137","last_updated":"2019-08-16T19:34:54Z","latest_version":1,"primary_category":"physics.med-ph","snapshot_observed_at":"2026-08-14T12:52:24.419085Z","submitted_at":"2019-08-16T19:34:54Z","title":"Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis"},"reference_resolution":{"displayed":33,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":1,"verified_exact":0,"verified_fuzzy":32},"total_outbound_references":33},"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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.06137."}