{"as_of":"2026-08-17T15:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:66baf8d28a032592099827e6c38af2cd037b5df3eba930158d5a9f98e17d5800","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T14:37:51.308746Z","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":"2026-05-11T13:16:20.200758Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1903.03303","last_updated":"2019-03-08T06:40:50Z","snapshot_observed_at":"2026-08-14T17:05:29.404745Z","submitted_at":"2019-03-08T06:40:50Z","title":"Learning from Synthetic Data for Crowd Counting in the Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03303","snapshot_observed_at":"2026-08-14T14:37:51.308746Z","title":null,"venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"1908.02797","last_updated":"2019-08-26T05:37:24Z","snapshot_observed_at":"2026-08-16T15:33:41.341806Z","submitted_at":"2019-08-07T18:57:35Z","title":"Attend To Count: Crowd Counting with Adaptive Capacity Multi-scale CNNs","version":2},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-14T14:37:51.308746Z"},"links":{"cited_paper":"/paper/1903.03303","citing_paper":"/paper/1908.02797"},"observation_digest":"sha256:c363c082229d09231be4eacf37927cf9d1660e6af41b5a101df92620bd32f6ec","observation_id":"b7df4a91-f9d5-440d-9ad7-f1a88e7811ca","resolution":{"observed_at":"2026-08-14T14:37:51.308746Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03303","last_updated":"2019-03-08T06:40:50Z","snapshot_observed_at":"2026-08-14T17:05:29.404745Z","submitted_at":"2019-03-08T06:40:50Z","title":"Learning from Synthetic Data for Crowd Counting in the Wild","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1903.03303","snapshot_observed_at":"2026-08-14T10:32:59.825713Z","title":"Learning from synthetic data for crowd counting in the wild","venue":null,"work_id":null,"year":1903},"citing_paper":{"arxiv_id":"1908.10937","last_updated":"2019-08-28T20:45:25Z","snapshot_observed_at":"2026-08-16T22:39:37.275707Z","submitted_at":"2019-08-28T20:45:25Z","title":"Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-14T10:32:59.825713Z"},"links":{"cited_paper":"/paper/1903.03303","citing_paper":"/paper/1908.10937"},"observation_digest":"sha256:b1589f02dbd2c50261d8327d11eb9cedabb95503ef9c2a1ec3a84bf6713be1c9","observation_id":"283d7c45-be60-4b38-ab08-4410cd0ca571","resolution":{"observed_at":"2026-08-14T10:32:59.825713Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1903.03303","last_updated":"2019-03-08T06:40:50Z","snapshot_observed_at":"2026-08-14T17:05:29.404745Z","submitted_at":"2019-03-08T06:40:50Z","title":"Learning from Synthetic Data for Crowd Counting in the Wild","version":1},"cited_work":{"arxiv_id":"1903.03303","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1903.03303","snapshot_observed_at":"2026-07-04T23:27:15.382903Z","title":"Learning from synthetic data for crowd counting in the wild","venue":null,"work_id":"e25f4a83-c403-4a05-9a81-91ba51f08bc3","year":2019},"citing_paper":{"arxiv_id":"2604.20030","last_updated":"2026-04-21T22:21:15Z","snapshot_observed_at":"2026-08-17T04:06:56.613885Z","submitted_at":"2026-04-21T22:21:15Z","title":"Learning to count small and clustered objects with application to bacterial colonies","version":1},"reference_index":81,"source":"pdf_text","source_observed_at":"2026-05-10T02:01:47.384228Z"},"links":{"cited_paper":"/paper/1903.03303","citing_paper":"/paper/2604.20030"},"observation_digest":"sha256:4592c878d6689626ca0e69dad1a7de6f51b656d6cecdb9f5fc4b57fb0ea2a236","observation_id":"b3b13c56-9923-42e7-ba2e-7718bf8a29d1","resolution":{"observed_at":"2026-07-04T23:27:15.382903Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1903.03303/citation-record","integrity":"/paper/1903.03303/integrity","json":"/paper/1903.03303/citation-record.json","paper":"/paper/1903.03303"},"outbound":[],"paper":{"arxiv_id":"1903.03303","last_updated":"2019-03-08T06:40:50Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T17:05:29.404745Z","submitted_at":"2019-03-08T06:40:50Z","title":"Learning from Synthetic Data for Crowd Counting in the Wild"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1903.03303."}