{"as_of":"2026-08-11T07:55:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7f18e6d6007b1d2d4de596f1f145374a9a440f48bc9965db91b8d4c5bfe19ba2","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":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T21:40:12.901779Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":5,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1606.00575","last_updated":"2017-07-18T08:50:05Z","snapshot_observed_at":"2026-08-07T22:38:10.429472Z","submitted_at":"2016-06-02T08:10:10Z","title":"Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks","version":2},"cited_work":{"arxiv_id":"1606.00575","doi":"10.48550/arxiv.1606.00575","metadata_source":"pith","pith_arxiv_id":"1606.00575","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Ensemble-Compression: A New Method for Parallel Training of Deep Neural Networks","venue":"cs.DC","work_id":"c0de68eb-eb96-44b2-90e1-bc6f242c153e","year":2016},"citing_paper":{"arxiv_id":"2502.06849","last_updated":"2025-02-07T08:45:38Z","snapshot_observed_at":"2026-08-09T03:18:39.673972Z","submitted_at":"2025-02-07T08:45:38Z","title":"Model Fusion via Neuron Transplantation","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-08T21:40:12.901779Z"},"links":{"cited_paper":"/paper/1606.00575","citing_paper":"/paper/2502.06849"},"observation_digest":"sha256:9215173288e029b28988fd5bf16b3f7482a956894f481bcc2bffbc427b61f100","observation_id":"6f371c0a-1287-422b-b003-490ac5496631","resolution":{"observed_at":"2026-08-08T21:40:12.962350Z","resolver_source":"local_arxiv","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/1606.00575/citation-record","integrity":"/paper/1606.00575/integrity","json":"/paper/1606.00575/citation-record.json","paper":"/paper/1606.00575"},"outbound":[],"paper":{"arxiv_id":"1606.00575","last_updated":"2017-07-18T08:50:05Z","latest_version":2,"primary_category":"cs.DC","snapshot_observed_at":"2026-08-07T22:38:10.429472Z","submitted_at":"2016-06-02T08:10:10Z","title":"Ensemble-Compression: A New Method for Parallel Training of Deep 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 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1606.00575."}