{"as_of":"2026-08-08T15:39:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e7c42ce5da82f467c7db6bac19b8733d74283c3dd818c1707b49778f33d540ea","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":"2026-08-08T06:32:00.761636+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":"2026-08-06T19:46:50.541768Z","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":"2026-08-06T19:46:52.971885Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1606.02785","last_updated":"2016-06-09T00:15:23Z","snapshot_observed_at":"2026-07-06T04:59:19.498394Z","submitted_at":"2016-06-09T00:15:23Z","title":"Neural Network-Based Abstract Generation for Opinions and Arguments","version":1},"cited_work":{"arxiv_id":"1606.02785","doi":null,"metadata_source":"pith","pith_arxiv_id":"1606.02785","snapshot_observed_at":"2026-08-06T19:46:52.971885Z","title":"Neural Network-Based Abstract Generation for Opinions and Arguments","venue":"cs.CL","work_id":"640646e8-da73-4ef3-aca7-4b204b44444c","year":2016},"citing_paper":{"arxiv_id":"2507.04751","last_updated":"2025-07-07T08:27:44Z","snapshot_observed_at":"2026-08-06T19:37:58.343996Z","submitted_at":"2025-07-07T08:27:44Z","title":"LLMs as Architects and Critics for Multi-Source Opinion Summarization","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-06T19:46:50.541768Z"},"links":{"cited_paper":"/paper/1606.02785","citing_paper":"/paper/2507.04751"},"observation_digest":"sha256:753ce599707ae9e014d27c49a9b8eb33f7f81bd0bca104fa822ac7220739d5b0","observation_id":"25238a59-47ac-48ad-acfb-c286a857260d","resolution":{"observed_at":"2026-08-06T19:46:53.031379Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1606.02785/citation-record","integrity":"/paper/1606.02785/integrity","json":"/paper/1606.02785/citation-record.json","paper":"/paper/1606.02785"},"outbound":[],"paper":{"arxiv_id":"1606.02785","last_updated":"2016-06-09T00:15:23Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T04:59:19.498394Z","submitted_at":"2016-06-09T00:15:23Z","title":"Neural Network-Based Abstract Generation for Opinions and Arguments"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1606.02785."}