{"as_of":"2026-08-20T03:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4c169aa9715e87d13e13e4868905efbbcdf9b0e721c80aaaea3bf514600dafa0","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":"2026-08-19T06:32:44.657259+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":"2026-08-15T21:03:20.170260Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":28,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.01804","snapshot_observed_at":"2026-08-15T21:03:20.170260Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.11046","last_updated":"2025-05-16T09:40:53Z","snapshot_observed_at":"2026-08-18T03:11:56.682020Z","submitted_at":"2025-05-16T09:40:53Z","title":"Artifacts of Idiosyncracy in Global Street View Data","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-15T21:03:20.170260Z"},"links":{"cited_paper":"/paper/2004.01804","citing_paper":"/paper/2505.11046"},"observation_digest":"sha256:19d5b29488d423f4d3930a677c91e800d383fc5b38f8c45657f2f5a9c8b405d0","observation_id":"c82831a1-a541-4b28-bf8e-f630bf2135d3","resolution":{"observed_at":"2026-08-15T21:03:20.170260Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.01804","snapshot_observed_at":"2026-07-13T23:54:26.281624Z","title":"In: IEEE Conf","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.16271","last_updated":"2026-06-30T03:31:28Z","snapshot_observed_at":"2026-08-18T09:16:17.087696Z","submitted_at":"2026-03-17T09:04:10Z","title":"VIGOR: VIdeo Geometry-Oriented Reward for Temporal Generative Alignment","version":3},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-07-13T23:54:26.281624Z"},"links":{"cited_paper":"/paper/2004.01804","citing_paper":"/paper/2603.16271"},"observation_digest":"sha256:2e77d026351b7cb43ab976dec865feea1821a0e87d0bbd68d5ebb2ce32ebeeac","observation_id":"da7380c5-27be-4ff6-a912-81415446fd14","resolution":{"observed_at":"2026-07-13T23:54:26.281624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","version":2},"cited_work":{"arxiv_id":"2004.01804","doi":"10.48550/arxiv.2004.01804","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.01804","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Google landmarks dataset v2 - a large-scale benchmark for instance-level recognition and retrieval","venue":"arXiv (Cornell University)","work_id":"272a3d66-3638-4124-bac6-6812e6774acf","year":2004},"citing_paper":{"arxiv_id":"2605.07177","last_updated":"2026-05-11T11:21:13Z","snapshot_observed_at":"2026-08-12T18:36:31.023736Z","submitted_at":"2026-05-08T03:16:08Z","title":"HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-11T01:28:36.266167Z"},"links":{"cited_paper":"/paper/2004.01804","citing_paper":"/paper/2605.07177"},"observation_digest":"sha256:11805228bc830b08913ccb54b200b19dfa2bcb22f946b300e58c0e7e7fad84d0","observation_id":"10085420-9534-46b6-acb7-b8c46e19cdd6","resolution":{"observed_at":"2026-05-11T01:45:52.357862Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","version":2},"cited_work":{"arxiv_id":"2004.01804","doi":"10.48550/arxiv.2004.01804","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.01804","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Google landmarks dataset v2 - a large-scale benchmark for instance-level recognition and retrieval","venue":"arXiv (Cornell University)","work_id":"272a3d66-3638-4124-bac6-6812e6774acf","year":2004},"citing_paper":{"arxiv_id":"2605.07177","last_updated":"2026-05-11T11:21:13Z","snapshot_observed_at":"2026-08-12T18:36:31.023736Z","submitted_at":"2026-05-08T03:16:08Z","title":"HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents","version":2},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-05-12T03:18:01.006274Z"},"links":{"cited_paper":"/paper/2004.01804","citing_paper":"/paper/2605.07177"},"observation_digest":"sha256:6aa296e12281cfaa1a3e000c49e22dbcb4af2615e8aa2ddf61648ee8e7b36e12","observation_id":"64ec4e5c-2a98-4847-9c32-1cccccd12a23","resolution":{"observed_at":"2026-05-12T03:21:19.056361Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval","version":2},"cited_work":{"arxiv_id":"2004.01804","doi":"10.48550/arxiv.2004.01804","metadata_source":"arxiv_reference","pith_arxiv_id":"2004.01804","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Google landmarks dataset v2 - a large-scale benchmark for instance-level recognition and retrieval","venue":"arXiv (Cornell University)","work_id":"272a3d66-3638-4124-bac6-6812e6774acf","year":2004},"citing_paper":{"arxiv_id":"2606.18333","last_updated":"2026-06-16T18:00:00Z","snapshot_observed_at":"2026-08-11T05:38:46.135431Z","submitted_at":"2026-06-16T18:00:00Z","title":"Polarisation and Faraday rotation measure imaging at metre wavelengths with sub-arcsecond resolution: a foundational calibration strategy","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-06-26T22:25:11.177423Z"},"links":{"cited_paper":"/paper/2004.01804","citing_paper":"/paper/2606.18333"},"observation_digest":"sha256:a563a90eb58ae57e63e77df15af9952e5f15b91e169b976efa3543b008f366a0","observation_id":"8c86b600-f09f-46fd-b2a2-8ef29061212d","resolution":{"observed_at":"2026-06-26T22:30:10.130394Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2004.01804/citation-record","integrity":"/paper/2004.01804/integrity","json":"/paper/2004.01804/citation-record.json","paper":"/paper/2004.01804"},"outbound":[],"paper":{"arxiv_id":"2004.01804","last_updated":"2020-11-02T18:30:45Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T02:23:18.376221Z","submitted_at":"2020-04-03T22:52:17Z","title":"Google Landmarks Dataset v2 -- A Large-Scale Benchmark for Instance-Level Recognition and Retrieval"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2004.01804."}