{"as_of":"2026-08-18T16:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7549df44beec2fc92e2016321ad926ae8e45bebbf50b3a2dbbce25efa25a4db","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T16:54:53.705690Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-04T08:59:42.347937Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-11T16:54:53.705690Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.09701","last_updated":"2024-12-12T19:49:09Z","snapshot_observed_at":"2026-08-16T03:23:28.373584Z","submitted_at":"2024-12-12T19:49:09Z","title":"CUAL: Continual Uncertainty-aware Active Learner","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T16:54:53.705690Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2412.09701"},"observation_digest":"sha256:e2805589b32764c25d60e70afcccdb896035daa9cbe37fcf011e22db573ec4f2","observation_id":"f27f509e-a666-424f-b8b2-149c77ec92cf","resolution":{"observed_at":"2026-08-11T16:54:53.705690Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-11T16:48:34.988914Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2412.10473","last_updated":"2024-12-13T01:41:28Z","snapshot_observed_at":"2026-08-18T04:18:50.906603Z","submitted_at":"2024-12-13T01:41:28Z","title":"CONCLAD: COntinuous Novel CLAss Detector","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T16:48:34.988914Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2412.10473"},"observation_digest":"sha256:42790dde4c3b457ec47dd4ca3c828562b8417f0334ad67ec9eb553089595592c","observation_id":"b5045eaa-7081-4aa1-9b1d-d96f0fdf73db","resolution":{"observed_at":"2026-08-11T16:48:34.988914Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-11T14:09:02.050137Z","title":"Out-of-distribution detection with subspace techniques and probabilistic modeling of features,","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.12453","last_updated":"2025-05-23T08:23:23Z","snapshot_observed_at":"2026-08-16T16:03:47.241821Z","submitted_at":"2024-12-17T01:36:32Z","title":"Multimodal Classification and Out-of-distribution Detection for Multimodal Intent Understanding","version":2},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T14:09:02.050137Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2412.12453"},"observation_digest":"sha256:c1ffb9a5138c4066f4cb9c950517bc7767aa9b36faa4ce2bb1f70914cbb70ff9","observation_id":"07a46813-f1dc-405a-a8a6-013740e69f56","resolution":{"observed_at":"2026-08-11T14:09:02.050137Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-11T10:40:37.189175Z","title":"Out-of-distribution detection with subspace techniques and probabilistic modeling of features","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2412.16409","last_updated":"2024-12-21T00:09:20Z","snapshot_observed_at":"2026-08-15T07:11:50.622800Z","submitted_at":"2024-12-21T00:09:20Z","title":"Uncertainty Quantification in Continual Open-World Learning","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T10:40:37.189175Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2412.16409"},"observation_digest":"sha256:a6d2835d875d6ff2b6a14cc08c4ae741c53c7983b75416cb1a0b3c31c90ddf80","observation_id":"bfc4e0bb-45bd-40d1-9b7d-c398ef4fc279","resolution":{"observed_at":"2026-08-11T10:40:37.189175Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-08T13:50:25.705289Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2502.07119","last_updated":"2025-02-10T23:20:59Z","snapshot_observed_at":"2026-08-17T04:42:10.766753Z","submitted_at":"2025-02-10T23:20:59Z","title":"SAFE: Self-Supervised Anomaly Detection Framework for Intrusion Detection","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-08T13:50:25.705289Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2502.07119"},"observation_digest":"sha256:0e9a72ea33c3a4b3f9b3a9d15aa9d83650488b39280df2ffa9a100706b7b8319","observation_id":"c4c4eb0c-6fb4-4057-ab6c-0aef03a81466","resolution":{"observed_at":"2026-08-08T13:50:25.705289Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-08-07T15:25:57.331746Z","title":"Out-of-distribution detection with subspace techniques and probabilistic modeling of features","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.15284","last_updated":"2026-07-14T01:54:24Z","snapshot_observed_at":"2026-08-16T02:41:31.889257Z","submitted_at":"2025-05-21T09:06:44Z","title":"Kernel PCA for Out-of-Distribution Detection: Non-Linear Kernel Selection and Approximation","version":2},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T15:25:57.331746Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2505.15284"},"observation_digest":"sha256:f43d73a01782e1e9ddb93de04b590c78b2e437b186134f80a559b54120a470d9","observation_id":"c4193af3-f9c2-41e6-a00b-9aad3b87fe3c","resolution":{"observed_at":"2026-08-07T15:25:57.331746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":"2012.04250","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-07-04T08:59:42.347937Z","title":"arXiv:2012.04250 (2020)","venue":null,"work_id":"11dd51bf-074c-45d3-8fee-472e6604a4a8","year":2012},"citing_paper":{"arxiv_id":"2606.22649","last_updated":"2026-06-25T20:47:02Z","snapshot_observed_at":"2026-08-03T05:38:04.524803Z","submitted_at":"2026-06-21T19:45:41Z","title":"MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-26T10:45:43.418638Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2606.22649"},"observation_digest":"sha256:af84fe1014d74faf73eecf5aa5422563856c64cf9cc6d09769e54f7b0e14c34a","observation_id":"de23defa-ea02-4918-aa0a-8b0b85a8d16b","resolution":{"observed_at":"2026-07-04T08:59:42.349238Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features","version":1},"cited_work":{"arxiv_id":"2012.04250","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2012.04250","snapshot_observed_at":"2026-07-04T08:59:42.347937Z","title":"arXiv:2012.04250 (2020)","venue":null,"work_id":"11dd51bf-074c-45d3-8fee-472e6604a4a8","year":2012},"citing_paper":{"arxiv_id":"2606.22649","last_updated":"2026-06-25T20:47:02Z","snapshot_observed_at":"2026-08-03T05:38:04.524803Z","submitted_at":"2026-06-21T19:45:41Z","title":"MaRS: Robust Out-of-Distribution Detection via Mahalanobis Residual Scoring","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-06-29T01:24:16.909918Z"},"links":{"cited_paper":"/paper/2012.04250","citing_paper":"/paper/2606.22649"},"observation_digest":"sha256:a2907c6a2bbe3b9e7c281cc713c1a22185ad8f6c1b6666bcd719d3132ab04a31","observation_id":"8d8b6a6c-d6ee-4fb1-9209-e9675c8b9c8e","resolution":{"observed_at":"2026-07-01T18:55:58.705111Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2012.04250/citation-record","integrity":"/paper/2012.04250/integrity","json":"/paper/2012.04250/citation-record.json","paper":"/paper/2012.04250"},"outbound":[],"paper":{"arxiv_id":"2012.04250","last_updated":"2020-12-08T07:07:11Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T19:00:12.610831Z","submitted_at":"2020-12-08T07:07:11Z","title":"Out-Of-Distribution Detection With Subspace Techniques And Probabilistic Modeling Of Features"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2012.04250."}