{"as_of":"2026-08-12T21:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:70bca32af4fea8b151ff08c6f206864c324bd0b6a4358dd38c0d44c7bab12447","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":"2026-08-12T06:34:41.77262+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":"2026-08-07T00:56:21.853629Z","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":"2026-05-11T17:36:05.205171Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.01973","last_updated":"2025-05-04T02:51:00Z","snapshot_observed_at":"2026-08-07T15:56:41.820849Z","submitted_at":"2025-05-04T02:51:00Z","title":"Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.01973","snapshot_observed_at":"2026-08-07T00:56:21.853629Z","title":"Visual dominance and emerging multimodal approaches in distracted driving detection: A review of machine learning techniques,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12456","last_updated":"2025-06-20T01:43:44Z","snapshot_observed_at":"2026-08-09T02:21:20.904819Z","submitted_at":"2025-06-14T11:33:40Z","title":"Demographics-Informed Neural Network for Multi-Modal Spatiotemporal forecasting of Urban Growth and Travel Patterns Using Satellite Imagery","version":2},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T00:56:21.853629Z"},"links":{"cited_paper":"/paper/2505.01973","citing_paper":"/paper/2506.12456"},"observation_digest":"sha256:fcbf3f17ae8a0da6685b891b642d7bf5777fc0a31dde4171d5fbb376eba0a3cd","observation_id":"5052bd98-1241-4899-93e7-9126f9524e8c","resolution":{"observed_at":"2026-08-07T00:56:21.853629Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.01973","last_updated":"2025-05-04T02:51:00Z","snapshot_observed_at":"2026-08-07T15:56:41.820849Z","submitted_at":"2025-05-04T02:51:00Z","title":"Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.01973","snapshot_observed_at":"2026-08-03T14:32:50.049552Z","title":"Visual dominance and emerging multimodal approaches in distracted driving detection: A review of machine learning techniques,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2512.20011","last_updated":"2025-12-23T03:09:49Z","snapshot_observed_at":"2026-08-12T13:41:41.391884Z","submitted_at":"2025-12-23T03:09:49Z","title":"PaveSync: A Unified and Comprehensive Dataset for Pavement Distress Analysis and Classification","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-03T14:32:50.049552Z"},"links":{"cited_paper":"/paper/2505.01973","citing_paper":"/paper/2512.20011"},"observation_digest":"sha256:9d8ab0926de66563e8420564f7381a43f8b7b6bb1359383a727e19ceeeae7501","observation_id":"6b7cbf12-81cb-47b0-ab08-ae84f9c17e99","resolution":{"observed_at":"2026-08-03T14:32:50.049552Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.01973","last_updated":"2025-05-04T02:51:00Z","snapshot_observed_at":"2026-08-07T15:56:41.820849Z","submitted_at":"2025-05-04T02:51:00Z","title":"Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques","version":1},"cited_work":{"arxiv_id":"2505.01973","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.01973","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Visual dominance and emerging multi- modal approaches in distracted driving detection: A review of machine learning techniques","venue":null,"work_id":"cd30abfe-cad7-4fb4-8c34-4c6d726cf26a","year":2025},"citing_paper":{"arxiv_id":"2605.05120","last_updated":"2026-05-06T16:48:57Z","snapshot_observed_at":"2026-07-06T23:17:48.161262Z","submitted_at":"2026-05-06T16:48:57Z","title":"Physiologically Grounded Driver Behavior Classification: SHAP-Driven Elite Feature Selection and Hybrid Gradient Boosting for Multimodal Physiological Signals","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T17:26:17.367536Z"},"links":{"cited_paper":"/paper/2505.01973","citing_paper":"/paper/2605.05120"},"observation_digest":"sha256:f8b06bec3fe27f9ffd8e5c89f09ad76522f674c21235512224a84cdee76900fc","observation_id":"5e4dd754-5e8f-4adf-9b09-2cf885ba68f0","resolution":{"observed_at":"2026-05-11T17:36:05.207557Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.01973/citation-record","integrity":"/paper/2505.01973/integrity","json":"/paper/2505.01973/citation-record.json","paper":"/paper/2505.01973"},"outbound":[],"paper":{"arxiv_id":"2505.01973","last_updated":"2025-05-04T02:51:00Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T15:56:41.820849Z","submitted_at":"2025-05-04T02:51:00Z","title":"Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2505.01973."}