{"as_of":"2026-08-09T09:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:27d196a9951a7eef4749d3894e0b48c5a6ce4df0e8716604aab876b6be12c7e6","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-05T15:18:00.500651Z","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":"2026-08-05T15:18:00.857692Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.06675","last_updated":"2020-04-14T17:26:36Z","snapshot_observed_at":"2026-08-09T07:26:13.615440Z","submitted_at":"2020-04-14T17:26:36Z","title":"Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence","version":1},"cited_work":{"arxiv_id":"2004.06675","doi":null,"metadata_source":"pith","pith_arxiv_id":"2004.06675","snapshot_observed_at":"2026-08-05T15:18:00.857692Z","title":"Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence","venue":"cs.SI","work_id":"907a55b5-d252-4b62-bf26-b38ba8fab428","year":2020},"citing_paper":{"arxiv_id":"2508.20176","last_updated":"2025-08-27T18:00:46Z","snapshot_observed_at":"2026-08-05T15:17:59.769901Z","submitted_at":"2025-08-27T18:00:46Z","title":"RelAItionship Building: Analyzing Recruitment Strategies for Participatory AI","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-05T15:18:00.500651Z"},"links":{"cited_paper":"/paper/2004.06675","citing_paper":"/paper/2508.20176"},"observation_digest":"sha256:c821eb5e80a64378ddd04c434e47ab67a28305d87e5c1ac5628b2fb0eb390830","observation_id":"7e3e7f70-ff1c-4d98-a333-a8401452a6ad","resolution":{"observed_at":"2026-08-05T15:18:00.865427Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2004.06675/citation-record","integrity":"/paper/2004.06675/integrity","json":"/paper/2004.06675/citation-record.json","paper":"/paper/2004.06675"},"outbound":[],"paper":{"arxiv_id":"2004.06675","last_updated":"2020-04-14T17:26:36Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-09T07:26:13.615440Z","submitted_at":"2020-04-14T17:26:36Z","title":"Rapid Damage Assessment Using Social Media Images by Combining Human and Machine Intelligence"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2004.06675."}