{"as_of":"2026-08-12T13:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:1f4bd205efce1bd911b00a1eef83216fadd6e6b8f6468328dd4cca751172cd25","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T14:59:01.518521Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1711.08200","last_updated":"2017-11-22T10:01:37Z","snapshot_observed_at":"2026-08-10T07:57:13.279463Z","submitted_at":"2017-11-22T10:01:37Z","title":"Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.08200","snapshot_observed_at":"2026-08-11T14:59:01.518521Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2412.18619","last_updated":"2024-12-30T03:00:30Z","snapshot_observed_at":"2026-08-11T19:52:22.380234Z","submitted_at":"2024-12-16T05:02:25Z","title":"Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey","version":2},"reference_index":89,"source":"pdf_text","source_observed_at":"2026-08-11T14:59:01.518521Z"},"links":{"cited_paper":"/paper/1711.08200","citing_paper":"/paper/2412.18619"},"observation_digest":"sha256:e05ae01a75b69d57ed205b9d21ddce745436cfc51b9de7c12684bfa85d03a3d5","observation_id":"30957332-f18c-47c2-8655-5cd706c375cb","resolution":{"observed_at":"2026-08-11T14:59:01.518521Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/1711.08200/citation-record","integrity":"/paper/1711.08200/integrity","json":"/paper/1711.08200/citation-record.json","paper":"/paper/1711.08200"},"outbound":[],"paper":{"arxiv_id":"1711.08200","last_updated":"2017-11-22T10:01:37Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-10T07:57:13.279463Z","submitted_at":"2017-11-22T10:01:37Z","title":"Temporal 3D ConvNets: New Architecture and Transfer Learning for Video Classification"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1711.08200."}