{"as_of":"2026-08-13T14:02:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5b47446fc8303f637261d0a4cd0d042a398483032713dbd2cb00211c6a72b33f","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":"2026-08-12T14:07:57.538125Z","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":"2026-08-12T14:07:58.157186Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1812.04616","last_updated":"2019-03-22T03:08:01Z","snapshot_observed_at":"2026-08-09T01:11:50.005164Z","submitted_at":"2018-12-10T20:00:36Z","title":"Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs","version":3},"cited_work":{"arxiv_id":"1812.04616","doi":null,"metadata_source":"pith","pith_arxiv_id":"1812.04616","snapshot_observed_at":"2026-08-12T14:07:58.157186Z","title":"Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs","venue":"cs.CL","work_id":"86bd52c6-3b39-4013-8490-bff91c9b1575","year":2018},"citing_paper":{"arxiv_id":"2411.15694","last_updated":"2025-06-13T03:01:26Z","snapshot_observed_at":"2026-08-12T22:59:02.314750Z","submitted_at":"2024-11-24T03:17:37Z","title":"Deep Sparse Latent Feature Models for Knowledge Graph Completion","version":2},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-12T14:07:57.538125Z"},"links":{"cited_paper":"/paper/1812.04616","citing_paper":"/paper/2411.15694"},"observation_digest":"sha256:969ca0666988660564f6f1ec17245ca55a143ae91d1dcd79608cad0d17c068eb","observation_id":"696c9292-a718-4b78-8ea1-f082e79c557a","resolution":{"observed_at":"2026-08-12T14:07:58.163390Z","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/1812.04616/citation-record","integrity":"/paper/1812.04616/integrity","json":"/paper/1812.04616/citation-record.json","paper":"/paper/1812.04616"},"outbound":[],"paper":{"arxiv_id":"1812.04616","last_updated":"2019-03-22T03:08:01Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-09T01:11:50.005164Z","submitted_at":"2018-12-10T20:00:36Z","title":"Von Mises-Fisher Loss for Training Sequence to Sequence Models with Continuous Outputs"},"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:1812.04616."}