{"as_of":"2026-08-16T19:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9420587d4bec2550cc3cf0ef2447e7152d7e5e689df7982c269d778c32970ea0","coverage":[{"denominator":14,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":14,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T13:04:45.022707Z","state":"measured"},{"denominator":14,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":14,"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/1908.05887/citation-record","integrity":"/paper/1908.05887/integrity","json":"/paper/1908.05887/citation-record.json","paper":"/paper/1908.05887"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-14T13:04:45.186158Z","title":"Proceedings MICCAI-BRATS (2014) 36–39","venue":null,"work_id":"bb59aa1f-1a44-4cd2-a136-0c4e5b8649d7","year":2014},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.974542Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:71e6144cab0c540155ae594f960891327f818c7f38adbf4f640c22f8939dc246","observation_id":"1d074979-804b-44f7-8d98-a01b5400d752","resolution":{"observed_at":"2026-08-14T13:04:45.191535Z","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":"2026-08-14T13:04:45.174520Z","title":"In: 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), IEEE (2015) 306–309","venue":null,"work_id":"b8399203-14f0-497b-96fc-3ec9befb07fe","year":2015},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.978603Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:49fd2b417eae66ee49be1a99ba321fe3adc31e02fb4365bb9acb8ebce48dd467","observation_id":"42ae8d92-9db5-48a0-ab30-9da7e5e6b801","resolution":{"observed_at":"2026-08-14T13:04:45.178272Z","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":"2026-08-14T13:04:44.982351Z","title":"Medical image analysis 35 (2017) 18–31","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.982351Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:a0c860406479864dbf198b0f84ab4c7d3db3f3882e713b0a2fee64ff84a05116","observation_id":"d8819def-a8ee-480b-84a4-83f815f0488d","resolution":{"observed_at":"2026-08-14T13:04:44.982351Z","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":"2026-08-14T13:04:45.157402Z","title":"In: Interna- tional conference on medical image computing and computer-assisted intervention, Springer (2016) 424–432","venue":null,"work_id":"94742001-19ba-41b3-b4f5-fcd58f703038","year":2016},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.986041Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:293db3d84539f41682dda7ff7b44a1560e11227b26755f991a50d085e8784602","observation_id":"9984b97f-ec4b-482f-b283-9d639ae8c5f9","resolution":{"observed_at":"2026-08-14T13:04:45.161372Z","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":"2026-08-14T13:04:45.146528Z","title":"Medical image analysis 36 (2017) 61–78","venue":null,"work_id":"ca1288be-d88d-4af5-a683-01c3157dc355","year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.989834Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:49ffa2d36b4b61527c2e4881ff1172782403336d6c975175f44e42499a7f3b5e","observation_id":"cd9d9d88-a038-4dd6-9a7f-fc85635313ee","resolution":{"observed_at":"2026-08-14T13:04:45.150312Z","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":"2026-08-14T13:04:45.135314Z","title":"Pattern Recognition 88 (2019) 90–100","venue":null,"work_id":"e570a062-414c-4e82-98a4-65d29a138623","year":2019},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.993433Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:c2d7ded80702eb4698d6ed2096efdff2644e239516a850b27c76876130bb3876","observation_id":"5a1f3ae5-0ea1-40f7-82a4-724dda9eaee9","resolution":{"observed_at":"2026-08-14T13:04:45.139010Z","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":"2026-08-14T13:04:45.124027Z","title":"IEEE transactions on medical imaging 37(8) (2018) 1943–1954","venue":null,"work_id":"9660fb5c-52cf-4601-9cd4-f4c71f20a9b7","year":2018},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:44.997199Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:43db550604c94d346499e93556f6beea5b1971ce92ea48fe8a7ece67ad42192c","observation_id":"6d199933-b3f1-4493-b3a1-af84f0b17716","resolution":{"observed_at":"2026-08-14T13:04:45.128434Z","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":"2026-08-14T13:04:45.113373Z","title":"IEEE transactions on medical imaging 34(10) (2014) 1993–2024","venue":null,"work_id":"ce3c4c26-fb3f-4103-853b-8b577404cb5c","year":2014},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.000078Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:0b4888e4a1141040036f48b6d038437655bcaf6ec96e60234e0ae86108c182f2","observation_id":"df03e4ee-6073-45fe-bcc7-0c533917ddff","resolution":{"observed_at":"2026-08-14T13:04:45.117406Z","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":"2026-08-14T13:04:45.101338Z","title":"In: Proceedings of the IEEE international conference on computer vision","venue":null,"work_id":"3089abcb-6cd6-43bb-8cbd-f7b4e71e04c5","year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.003899Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:0d7b8529f1ec1758d5a15c2ba5a619c5dd5dc2d63bde15f817dca6228554b081","observation_id":"4a73267d-6b06-4f6c-95fe-e29be2ef51be","resolution":{"observed_at":"2026-08-14T13:04:45.106054Z","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":"2026-08-14T13:04:45.091026Z","title":"Scientific data 4 (2017) 170117 11","venue":null,"work_id":"64b18cd9-5d1b-4074-92c6-9677d7f4b233","year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.007813Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:18a310752268f12c224517c3d8e6ae42dcc9b728bb2489715e0027661a8cfd1e","observation_id":"48962480-2470-4aef-a50f-444fc246f694","resolution":{"observed_at":"2026-08-14T13:04:45.094580Z","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":{"arxiv_id":"1811.02629","last_updated":"2019-04-23T13:35:04Z","snapshot_observed_at":"2026-08-14T18:04:24.261590Z","submitted_at":"2018-11-05T05:10:18Z","title":"Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.02629","snapshot_observed_at":"2026-08-14T13:04:45.011644Z","title":"arXiv preprint arXiv:1811.02629 (2018)","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.011644Z"},"links":{"cited_paper":"/paper/1811.02629","citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:9dad1e71cf9b18fa99b6edee5794dfda17b13a96fe3e3e645b6473a93b2ebeb7","observation_id":"9377cb4b-b6b3-481e-bce0-59b1ebac1779","resolution":{"observed_at":"2026-08-14T13:04:45.011644Z","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":"2026-08-14T13:04:45.015757Z","title":"The Cancer Imaging Archive 286 (2017)","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.015757Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:57800308327a67ef956cb3492a55f8395cccb55335bd0b19a84d40f6d2150005","observation_id":"92f36e70-eb43-449a-8f2b-a3e90fbd5aee","resolution":{"observed_at":"2026-08-14T13:04:45.015757Z","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":"2026-08-14T13:04:45.073890Z","title":"the cancer imaging archive (2017)","venue":null,"work_id":"f6bf4d0d-6b5c-43d8-9f11-56e5e0204615","year":2017},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.019244Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:72a1b39130098bc98ea88c128aeae5d6727094e62e9ae991c2ef7219f6326167","observation_id":"00af4c21-462d-42f8-a13e-53d527aa2bff","resolution":{"observed_at":"2026-08-14T13:04:45.077586Z","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":"2026-08-14T13:04:45.060581Z","title":"IEEE transactions on medical imaging 29(6) (2010) 1310","venue":null,"work_id":"dc8284e8-a02b-46da-9377-db2473ad7322","year":2010},"citing_paper":{"arxiv_id":"1908.05887","last_updated":"2019-09-25T11:03:46Z","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation","version":3},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-14T13:04:45.022707Z"},"links":{"citing_paper":"/paper/1908.05887"},"observation_digest":"sha256:1eda57ce5d4077fbad1aa02f2f63fb1a4478a8984a53f342760fc65d0069f63a","observation_id":"f68bbf95-466e-4e53-910b-85aca9cd59d4","resolution":{"observed_at":"2026-08-14T13:04:45.066194Z","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":"1908.05887","last_updated":"2019-09-25T11:03:46Z","latest_version":3,"primary_category":"eess.IV","snapshot_observed_at":"2026-08-16T08:19:27.499119Z","submitted_at":"2019-08-16T08:39:13Z","title":"Multi-step Cascaded Networks for Brain Tumor Segmentation"},"reference_resolution":{"displayed":14,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":3,"verified_exact":0,"verified_fuzzy":11},"total_outbound_references":14},"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 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1908.05887."}