{"as_of":"2026-08-13T02:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e449b1ef8fd699bc06d70d1fcfdd51fbd7a8f294398de23922b67dc7d590e8c2","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T19:40:06.648744Z","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":"2026-08-06T19:48:33.143126Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1810.09726","last_updated":"2018-10-23T08:44:49Z","snapshot_observed_at":"2026-07-06T07:09:58.675346Z","submitted_at":"2018-10-23T08:44:49Z","title":"CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1810.09726","snapshot_observed_at":"2026-08-11T19:40:06.648744Z","title":"CEREALS - cost- effective region-based active learning for semantic segmen- tation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2412.06470","last_updated":"2025-03-17T00:35:34Z","snapshot_observed_at":"2026-08-13T01:48:51.735947Z","submitted_at":"2024-12-09T13:15:52Z","title":"Active Learning with Context Sampling and One-vs-Rest Entropy for Semantic Segmentation","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T19:40:06.648744Z"},"links":{"cited_paper":"/paper/1810.09726","citing_paper":"/paper/2412.06470"},"observation_digest":"sha256:abb763157589b7e84cb3ab52b33022982a84b998d0cae12d223e0e0ae77ffe3b","observation_id":"d10624af-6d14-407f-b28c-6bb719ec511b","resolution":{"observed_at":"2026-08-11T19:40:06.648744Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1810.09726","last_updated":"2018-10-23T08:44:49Z","snapshot_observed_at":"2026-07-06T07:09:58.675346Z","submitted_at":"2018-10-23T08:44:49Z","title":"CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation","version":1},"cited_work":{"arxiv_id":"1810.09726","doi":null,"metadata_source":"pith","pith_arxiv_id":"1810.09726","snapshot_observed_at":"2026-08-06T19:48:33.143126Z","title":"CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation","venue":"cs.CV","work_id":"87638f3a-fb01-48b6-be39-b1d580114a2c","year":2018},"citing_paper":{"arxiv_id":"2507.04630","last_updated":"2025-08-18T14:06:49Z","snapshot_observed_at":"2026-08-09T12:46:22.200296Z","submitted_at":"2025-07-07T03:18:54Z","title":"Learn 3D VQA Better with Active Selection and Reannotation","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-06T19:48:29.233674Z"},"links":{"cited_paper":"/paper/1810.09726","citing_paper":"/paper/2507.04630"},"observation_digest":"sha256:bc7de1fd1114d94ba2b0451d795d7bc704e6bed8787c4f2612d51d1bdd1ed3f7","observation_id":"014749f5-4bfc-43b4-8b1a-003ad7983586","resolution":{"observed_at":"2026-08-06T19:48:33.262047Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1810.09726/citation-record","integrity":"/paper/1810.09726/integrity","json":"/paper/1810.09726/citation-record.json","paper":"/paper/1810.09726"},"outbound":[],"paper":{"arxiv_id":"1810.09726","last_updated":"2018-10-23T08:44:49Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T07:09:58.675346Z","submitted_at":"2018-10-23T08:44:49Z","title":"CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1810.09726."}