{"as_of":"2026-08-13T11:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:994dc4321636a2ac32a8995bd298093a74e8587ec5416be3e3e6ca27bece30e5","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":"2026-08-13T06:32:02.005865+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":"2026-08-11T13:56:39.621807Z","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":"2026-08-11T13:56:40.080049Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.08717","last_updated":"2019-11-21T09:43:45Z","snapshot_observed_at":"2026-08-03T00:59:52.298231Z","submitted_at":"2019-11-20T05:48:31Z","title":"Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation","version":2},"cited_work":{"arxiv_id":"1911.08717","doi":null,"metadata_source":"pith","pith_arxiv_id":"1911.08717","snapshot_observed_at":"2026-08-11T13:56:40.080049Z","title":"Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation","venue":"cs.LG","work_id":"2ca4dab0-c145-48d7-9e98-5fa577606994","year":2019},"citing_paper":{"arxiv_id":"2412.12639","last_updated":"2025-04-22T07:32:21Z","snapshot_observed_at":"2026-08-12T11:57:04.940808Z","submitted_at":"2024-12-17T08:02:08Z","title":"Falcon: Faster and Parallel Inference of Large Language Models through Enhanced Semi-Autoregressive Drafting and Custom-Designed Decoding Tree","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T13:56:39.621807Z"},"links":{"cited_paper":"/paper/1911.08717","citing_paper":"/paper/2412.12639"},"observation_digest":"sha256:c3330e752e2480df945026a5cf088d13b39837a4eaa8018f128e52323dbe70a3","observation_id":"8fa911fd-5676-4554-b832-7d0412bbc4be","resolution":{"observed_at":"2026-08-11T13:56:40.085206Z","resolver_source":"local_arxiv","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/1911.08717/citation-record","integrity":"/paper/1911.08717/integrity","json":"/paper/1911.08717/citation-record.json","paper":"/paper/1911.08717"},"outbound":[],"paper":{"arxiv_id":"1911.08717","last_updated":"2019-11-21T09:43:45Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-03T00:59:52.298231Z","submitted_at":"2019-11-20T05:48:31Z","title":"Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation"},"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 1 inbound Pith citation observation for arXiv:1911.08717."}