{"as_of":"2026-08-17T07:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b76b91ed8224df7710149e989017c7ae2a70d1ed77fbe4709d057ff968de5420","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":"2026-08-17T06:30:58.91139+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":"2026-08-14T05:52:37.366761Z","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":"2026-08-14T05:52:37.576058Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1906.04886","last_updated":"2020-08-12T22:36:34Z","snapshot_observed_at":"2026-08-14T16:17:06.492184Z","submitted_at":"2019-06-12T01:59:44Z","title":"Run-Time Efficient RNN Compression for Inference on Edge Devices","version":4},"cited_work":{"arxiv_id":"1906.04886","doi":null,"metadata_source":"pith","pith_arxiv_id":"1906.04886","snapshot_observed_at":"2026-08-14T05:52:37.576058Z","title":"Run-Time Efficient RNN Compression for Inference on Edge Devices","venue":"cs.LG","work_id":"8e447bdd-9dfd-4c9c-ac6e-6c5e7c930a50","year":2019},"citing_paper":{"arxiv_id":"1909.00560","last_updated":"2020-02-10T11:28:38Z","snapshot_observed_at":"2026-08-16T22:45:14.691620Z","submitted_at":"2019-09-02T06:37:13Z","title":"Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence","version":2},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-14T05:52:37.366761Z"},"links":{"cited_paper":"/paper/1906.04886","citing_paper":"/paper/1909.00560"},"observation_digest":"sha256:fea238527ba9354316447eb42ef23fd848e564d941794e572814c2aa000422be","observation_id":"0a0575c7-0c60-4cf0-940d-4997bc7f2e73","resolution":{"observed_at":"2026-08-14T05:52:37.580146Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1906.04886/citation-record","integrity":"/paper/1906.04886/integrity","json":"/paper/1906.04886/citation-record.json","paper":"/paper/1906.04886"},"outbound":[],"paper":{"arxiv_id":"1906.04886","last_updated":"2020-08-12T22:36:34Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-14T16:17:06.492184Z","submitted_at":"2019-06-12T01:59:44Z","title":"Run-Time Efficient RNN Compression for Inference on Edge Devices"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1906.04886."}