{"as_of":"2026-08-15T22:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:97df555cfd16ba2490fe4b234a4060ee155e51ad2b2a57ea31be827c0781967c","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":"2026-08-15T06:32:42.880941+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":"2026-08-14T14:51:12.551230Z","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":"2026-08-14T13:10:40.454852Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1508.05051","last_updated":"2015-08-20T17:21:50Z","snapshot_observed_at":"2026-08-14T22:35:48.732008Z","submitted_at":"2015-08-20T17:21:50Z","title":"Auto-Sizing Neural Networks: With Applications to n-gram Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1508.05051","snapshot_observed_at":"2026-08-14T14:51:12.551230Z","title":"Murray and D","venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"1908.02400","last_updated":"2019-08-06T23:45:34Z","snapshot_observed_at":"2026-08-15T10:35:16.984988Z","submitted_at":"2019-08-06T23:45:34Z","title":"Refining the Structure of Neural Networks Using Matrix Conditioning","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-14T14:51:12.551230Z"},"links":{"cited_paper":"/paper/1508.05051","citing_paper":"/paper/1908.02400"},"observation_digest":"sha256:4aca8cad182f242890c018d5afcfd46a6a0b3de11a1806e39bc0a83e393b879f","observation_id":"e92afc4e-70dc-4605-86d3-7538f7ffbdde","resolution":{"observed_at":"2026-08-14T14:51:12.551230Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1508.05051","last_updated":"2015-08-20T17:21:50Z","snapshot_observed_at":"2026-08-14T22:35:48.732008Z","submitted_at":"2015-08-20T17:21:50Z","title":"Auto-Sizing Neural Networks: With Applications to n-gram Language Models","version":1},"cited_work":{"arxiv_id":"1508.05051","doi":null,"metadata_source":"pith","pith_arxiv_id":"1508.05051","snapshot_observed_at":"2026-08-14T13:10:40.454852Z","title":"Auto-Sizing Neural Networks: With Applications to n-gram Language Models","venue":"cs.CL","work_id":"4cfbd923-f117-4db1-aaf1-7373c21c4fc2","year":2015},"citing_paper":{"arxiv_id":"1908.09630","last_updated":"2019-08-15T23:51:33Z","snapshot_observed_at":"2026-08-15T04:35:22.341164Z","submitted_at":"2019-08-15T23:51:33Z","title":"Deep Sparse Band Selection for Hyperspectral Face Recognition","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-14T13:10:39.865091Z"},"links":{"cited_paper":"/paper/1508.05051","citing_paper":"/paper/1908.09630"},"observation_digest":"sha256:93a5ff22e35ce9a6f97c42ba89cbc38fedfa13d94a4879c768585f47fefad752","observation_id":"4f897020-b594-4184-ba57-7fe22b38dd87","resolution":{"observed_at":"2026-08-14T13:10:40.460768Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1508.05051/citation-record","integrity":"/paper/1508.05051/integrity","json":"/paper/1508.05051/citation-record.json","paper":"/paper/1508.05051"},"outbound":[],"paper":{"arxiv_id":"1508.05051","last_updated":"2015-08-20T17:21:50Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T22:35:48.732008Z","submitted_at":"2015-08-20T17:21:50Z","title":"Auto-Sizing Neural Networks: With Applications to n-gram Language Models"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1508.05051."}