{"as_of":"2026-08-12T04:17:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:38570d40c8c539c00dfdb21818b2012ae30751824be5ffb901699ca97bdd2a19","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T22:26:32.486662Z","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":103,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.03667","last_updated":"2023-05-21T15:04:11Z","snapshot_observed_at":"2026-08-09T10:00:54.988168Z","submitted_at":"2023-03-07T06:05:30Z","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.03667","snapshot_observed_at":"2026-08-10T22:26:32.486662Z","title":"Gary Chan","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.01841","last_updated":"2025-01-03T14:46:34Z","snapshot_observed_at":"2026-08-11T00:24:41.121285Z","submitted_at":"2025-01-03T14:46:34Z","title":"Dedicated Inference Engine and Binary-Weight Neural Networks for Lightweight Instance Segmentation","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-10T22:26:32.486662Z"},"links":{"cited_paper":"/paper/2303.03667","citing_paper":"/paper/2501.01841"},"observation_digest":"sha256:1b5406264160208d3bb2f50cc30e7595c22e79711d06c19a540d58db3d777cab","observation_id":"51fbd198-6978-4364-830f-1087c84f9435","resolution":{"observed_at":"2026-08-10T22:26:32.486662Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03667","last_updated":"2023-05-21T15:04:11Z","snapshot_observed_at":"2026-08-09T10:00:54.988168Z","submitted_at":"2023-03-07T06:05:30Z","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks","version":3},"cited_work":{"arxiv_id":"2303.03667","doi":"10.48550/arxiv.2303.03667","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.03667","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks","venue":"arXiv (Cornell University)","work_id":"a87b0ca4-24e1-4637-9174-e54a8dc918d3","year":2023},"citing_paper":{"arxiv_id":"2604.05490","last_updated":"2026-04-07T06:33:50Z","snapshot_observed_at":"2026-08-12T00:25:39.458248Z","submitted_at":"2026-04-07T06:33:50Z","title":"A Weak-Signal-Aware Framework for Subsurface Defect Detection: Mechanisms for Enhancing Low-SCR Hyperbolic Signatures","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-10T18:37:37.358338Z"},"links":{"cited_paper":"/paper/2303.03667","citing_paper":"/paper/2604.05490"},"observation_digest":"sha256:0df0a726e8dde4874d801d9e61fa30d419eaab4be3151421466c3ce62a3164fd","observation_id":"a0b39304-09ac-46ca-8588-33b41880c738","resolution":{"observed_at":"2026-05-10T18:40:43.989728Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.03667","last_updated":"2023-05-21T15:04:11Z","snapshot_observed_at":"2026-08-09T10:00:54.988168Z","submitted_at":"2023-03-07T06:05:30Z","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks","version":3},"cited_work":{"arxiv_id":"2303.03667","doi":"10.48550/arxiv.2303.03667","metadata_source":"arxiv_reference","pith_arxiv_id":"2303.03667","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks","venue":"arXiv (Cornell University)","work_id":"a87b0ca4-24e1-4637-9174-e54a8dc918d3","year":2023},"citing_paper":{"arxiv_id":"2604.14884","last_updated":"2026-04-16T11:22:13Z","snapshot_observed_at":"2026-08-10T22:37:00.512804Z","submitted_at":"2026-04-16T11:22:13Z","title":"FSDETR: Frequency-Spatial Feature Enhancement for Small Object Detection","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-10T11:47:15.101954Z"},"links":{"cited_paper":"/paper/2303.03667","citing_paper":"/paper/2604.14884"},"observation_digest":"sha256:af7d0f1c011e71b5017a7c3aa79d13b42c334586fb79380013efc557133d8676","observation_id":"a9d8f42a-7723-40af-81fe-71b00a25b01c","resolution":{"observed_at":"2026-05-10T11:50:20.402410Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.03667/citation-record","integrity":"/paper/2303.03667/integrity","json":"/paper/2303.03667/citation-record.json","paper":"/paper/2303.03667"},"outbound":[],"paper":{"arxiv_id":"2303.03667","last_updated":"2023-05-21T15:04:11Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T10:00:54.988168Z","submitted_at":"2023-03-07T06:05:30Z","title":"Run, Don't Walk: Chasing Higher FLOPS for Faster Neural Networks"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:2303.03667."}