{"as_of":"2026-08-14T13:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6dfc24098483f1ad3b120dd9fbbd29df87af273d055a32022b939dede0e94fa9","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":"2026-08-14T06:32:32.682623+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":"2026-08-06T23:57:05.430471Z","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":"2026-08-06T17:25:34.309748Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2408.04797","last_updated":"2024-08-09T00:30:22Z","snapshot_observed_at":"2026-08-12T23:06:16.629934Z","submitted_at":"2024-08-09T00:30:22Z","title":"AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.04797","snapshot_observed_at":"2026-08-06T23:57:05.430471Z","title":"AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.15559","last_updated":"2025-06-18T15:34:41Z","snapshot_observed_at":"2026-08-09T18:56:00.490770Z","submitted_at":"2025-06-18T15:34:41Z","title":"Towards Explainable Indoor Localization: Interpreting Neural Network Learning on Wi-Fi Fingerprints Using Logic Gates","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-06T23:57:05.430471Z"},"links":{"cited_paper":"/paper/2408.04797","citing_paper":"/paper/2506.15559"},"observation_digest":"sha256:afe8f67d3dea81e6333dfb45e7020e60502bd5de4d98aa6408ee29b4ff9cd677","observation_id":"75ffc8e1-5941-4df0-b8e7-89be1642bf74","resolution":{"observed_at":"2026-08-06T23:57:05.430471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.04797","last_updated":"2024-08-09T00:30:22Z","snapshot_observed_at":"2026-08-12T23:06:16.629934Z","submitted_at":"2024-08-09T00:30:22Z","title":"AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems","version":1},"cited_work":{"arxiv_id":"2408.04797","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.04797","snapshot_observed_at":"2026-08-06T17:25:34.309748Z","title":"AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems","venue":"cs.LG","work_id":"1b071b45-9ec7-4eef-8e5c-b05511043042","year":2024},"citing_paper":{"arxiv_id":"2507.11053","last_updated":"2025-07-15T07:37:33Z","snapshot_observed_at":"2026-08-10T01:40:19.770772Z","submitted_at":"2025-07-15T07:37:33Z","title":"GATE: Graph Attention Neural Networks with Real-Time Edge Construction for Robust Indoor Localization using Mobile Embedded Devices","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-06T17:25:33.601428Z"},"links":{"cited_paper":"/paper/2408.04797","citing_paper":"/paper/2507.11053"},"observation_digest":"sha256:72d5f030728e863c26ecc7b2377335f771ada4e5a5c3398ff6ad2d5bf1b84d20","observation_id":"e274c65e-fd3a-485b-b531-2f397453296b","resolution":{"observed_at":"2026-08-06T17:25:34.428532Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2408.04797/citation-record","integrity":"/paper/2408.04797/integrity","json":"/paper/2408.04797/citation-record.json","paper":"/paper/2408.04797"},"outbound":[],"paper":{"arxiv_id":"2408.04797","last_updated":"2024-08-09T00:30:22Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-12T23:06:16.629934Z","submitted_at":"2024-08-09T00:30:22Z","title":"AI and Machine Learning Driven Indoor Localization and Navigation with Mobile Embedded Systems"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2408.04797."}