{"as_of":"2026-08-18T09:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:aacf3fae4b7e9c4019a1df0cc7e8182815ddba9d35df8fd9487d5fcb8752118a","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T15:24:16.507974Z","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":"2026-08-14T10:57:56.041321Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1811.11721","last_updated":"2020-07-09T12:17:28Z","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.11721","snapshot_observed_at":"2026-08-14T15:24:16.507974Z","title":"CoRR abs/1811.11721 (2018), http: //arxiv.org/abs/1811.11721 2","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.01259","last_updated":"2021-03-25T17:16:13Z","snapshot_observed_at":"2026-08-18T07:19:33.865005Z","submitted_at":"2019-08-04T02:17:34Z","title":"Attentive Normalization","version":3},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-14T15:24:16.507974Z"},"links":{"cited_paper":"/paper/1811.11721","citing_paper":"/paper/1908.01259"},"observation_digest":"sha256:9edcca7f9b0dd8fb314a7932ed7a7794aa7610b1209369f9de51f6cb232370ba","observation_id":"318bb7f5-a3d9-4895-95c9-81e61d15f6a5","resolution":{"observed_at":"2026-08-14T15:24:16.507974Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11721","last_updated":"2020-07-09T12:17:28Z","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.11721","snapshot_observed_at":"2026-08-14T13:15:44.379542Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.05498","last_updated":"2019-08-15T11:36:52Z","snapshot_observed_at":"2026-08-14T22:41:20.063608Z","submitted_at":"2019-08-15T11:36:52Z","title":"A Single-Shot Arbitrarily-Shaped Text Detector based on Context Attended Multi-Task Learning","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-14T13:15:44.379542Z"},"links":{"cited_paper":"/paper/1811.11721","citing_paper":"/paper/1908.05498"},"observation_digest":"sha256:577b7424187ce8c53b426fdf091ca55a94d5d0c70667416e0de8ad59c75a24b7","observation_id":"d2f5f101-912d-45bc-b2a0-e63322861494","resolution":{"observed_at":"2026-08-14T13:15:44.379542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11721","last_updated":"2020-07-09T12:17:28Z","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.11721","snapshot_observed_at":"2026-08-14T12:24:46.907169Z","title":"Huang, X","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1908.07919","last_updated":"2020-03-13T13:38:30Z","snapshot_observed_at":"2026-08-15T02:23:10.071678Z","submitted_at":"2019-08-20T10:47:46Z","title":"Deep High-Resolution Representation Learning for Visual Recognition","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-14T12:24:46.907169Z"},"links":{"cited_paper":"/paper/1811.11721","citing_paper":"/paper/1908.07919"},"observation_digest":"sha256:5157cf74d3fb90f683a9557f8c2693ca2c3f224fb9614c637b2a8c2203664c46","observation_id":"d8e1da3f-ab27-4a48-b935-dceed92fe54e","resolution":{"observed_at":"2026-08-14T12:24:46.907169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1811.11721","last_updated":"2020-07-09T12:17:28Z","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":"1811.11721","doi":null,"metadata_source":"pith","pith_arxiv_id":"1811.11721","snapshot_observed_at":"2026-08-14T10:57:56.041321Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","venue":"cs.CV","work_id":"cfe61ba2-d35d-483f-a926-db4f15f5003d","year":2018},"citing_paper":{"arxiv_id":"1908.10049","last_updated":"2019-08-27T06:57:03Z","snapshot_observed_at":"2026-08-15T08:10:09.854052Z","submitted_at":"2019-08-27T06:57:03Z","title":"Global-Local Temporal Representations For Video Person Re-Identification","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-14T10:57:55.655088Z"},"links":{"cited_paper":"/paper/1811.11721","citing_paper":"/paper/1908.10049"},"observation_digest":"sha256:629f280f11aee8d8496014602ff7cd0ea0fcfd5f576a74370eece12cad37a971","observation_id":"00defd8d-f483-4da2-8e41-1b7aeb163795","resolution":{"observed_at":"2026-08-14T10:57:56.048063Z","resolver_source":"local_arxiv","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":"1811.11721","last_updated":"2020-07-09T12:17:28Z","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention for Semantic Segmentation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1811.11721","snapshot_observed_at":"2026-08-14T11:24:25.274604Z","title":"Ccnet: Criss-cross attention for semant ic segmentation","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"1909.05214","last_updated":"2020-02-14T08:07:24Z","snapshot_observed_at":"2026-08-14T23:29:42.988895Z","submitted_at":"2019-08-24T11:41:05Z","title":"A Survey of Simultaneous Localization and Mapping with an Envision in 6G Wireless Networks","version":4},"reference_index":185,"source":"pdf_text","source_observed_at":"2026-08-14T11:24:25.274604Z"},"links":{"cited_paper":"/paper/1811.11721","citing_paper":"/paper/1909.05214"},"observation_digest":"sha256:1df363dae5a72e12cfbc108bb7ddfa37fe3c1d01fefc941e37ca1f9a96597985","observation_id":"b6b7c325-da00-4126-b4e6-d77fb7039332","resolution":{"observed_at":"2026-08-14T11:24:25.274604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1811.11721/citation-record","integrity":"/paper/1811.11721/integrity","json":"/paper/1811.11721/citation-record.json","paper":"/paper/1811.11721"},"outbound":[],"paper":{"arxiv_id":"1811.11721","last_updated":"2020-07-09T12:17:28Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-18T04:16:27.740097Z","submitted_at":"2018-11-28T18:18:27Z","title":"CCNet: Criss-Cross Attention 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":"2026-08-18T06:34:40.430872+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 5 inbound Pith citation observations for arXiv:1811.11721."}