{"as_of":"2026-08-13T23:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2e738d8ccf3ede65fb8cd51088b988439681df8b951760c43bc463d3c7b75ad0","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":"2026-08-13T06:32:02.005865+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":"2026-08-11T19:16:01.919111Z","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":"2026-05-11T23:22:03.061350Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1609.05672","last_updated":"2017-03-15T08:50:00Z","snapshot_observed_at":"2026-08-13T14:54:12.324045Z","submitted_at":"2016-09-19T11:34:24Z","title":"Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.05672","snapshot_observed_at":"2026-08-11T19:16:01.919111Z","title":"Multi-residual networks: Improv- ing the speed and accuracy of residual networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2412.07079","last_updated":"2024-12-10T00:42:25Z","snapshot_observed_at":"2026-08-13T20:42:20.334748Z","submitted_at":"2024-12-10T00:42:25Z","title":"Light Field Image Quality Assessment With Auxiliary Learning Based on Depthwise and Anglewise Separable Convolutions","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T19:16:01.919111Z"},"links":{"cited_paper":"/paper/1609.05672","citing_paper":"/paper/2412.07079"},"observation_digest":"sha256:85be18ad86e3ad98166e0b10afec25255d67b346df183492676ce9a7dc4b0fe4","observation_id":"f0656dda-dedb-439e-8c34-945d4bdd49d7","resolution":{"observed_at":"2026-08-11T19:16:01.919111Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.05672","last_updated":"2017-03-15T08:50:00Z","snapshot_observed_at":"2026-08-13T14:54:12.324045Z","submitted_at":"2016-09-19T11:34:24Z","title":"Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1609.05672","snapshot_observed_at":"2026-08-06T00:56:29.489279Z","title":"Multi-residual networks: Improv- ing the speed and accuracy of residual networks,","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2508.04123","last_updated":"2025-08-06T06:41:58Z","snapshot_observed_at":"2026-08-11T11:05:25.611244Z","submitted_at":"2025-08-06T06:41:58Z","title":"Excavate the potential of Single-Scale Features: A Decomposition Network for Water-Related Optical Image Enhancement","version":1},"reference_index":88,"source":"pdf_text","source_observed_at":"2026-08-06T00:56:29.489279Z"},"links":{"cited_paper":"/paper/1609.05672","citing_paper":"/paper/2508.04123"},"observation_digest":"sha256:777cea7506ceff8d6fceb5ed09c493ed80a1bc3a9ef72f697286eebd6c8cac95","observation_id":"e650a745-a4a0-4459-a638-1de981e18614","resolution":{"observed_at":"2026-08-06T00:56:29.489279Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1609.05672","last_updated":"2017-03-15T08:50:00Z","snapshot_observed_at":"2026-08-13T14:54:12.324045Z","submitted_at":"2016-09-19T11:34:24Z","title":"Multi-Residual Networks: Improving the Speed and Accuracy of Residual Networks","version":4},"cited_work":{"arxiv_id":"1609.05672","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1609.05672","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Multi-residual net- works: Improving the speed and accuracy of residual net- works","venue":null,"work_id":"ae9e27e9-107e-4fc1-88d2-d4e20e873d33","year":2017},"citing_paper":{"arxiv_id":"2604.25188","last_updated":"2026-04-28T03:49:35Z","snapshot_observed_at":"2026-07-06T23:11:07.254460Z","submitted_at":"2026-04-28T03:49:35Z","title":"Image Classification via Random Dilated Convolution with Multi-Branch Feature Extraction and Context Excitation","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-07T17:07:55.177114Z"},"links":{"cited_paper":"/paper/1609.05672","citing_paper":"/paper/2604.25188"},"observation_digest":"sha256:c00beaa87a35b7d296ba43f4b8eef8955bb4d420bb87117b1425d0e6804f5312","observation_id":"127e8723-4065-4664-b4db-78a910bbe8e3","resolution":{"observed_at":"2026-05-11T23:22:03.112360Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1609.05672/citation-record","integrity":"/paper/1609.05672/integrity","json":"/paper/1609.05672/citation-record.json","paper":"/paper/1609.05672"},"outbound":[],"paper":{"arxiv_id":"1609.05672","last_updated":"2017-03-15T08:50:00Z","latest_version":4,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-13T14:54:12.324045Z","submitted_at":"2016-09-19T11:34:24Z","title":"Multi-Residual Networks: Improving the Speed and Accuracy of Residual 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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1609.05672."}