{"as_of":"2026-08-20T04:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:fa9bfbcff8f1acf923fe7657647bae6fb2f101b1b60e1cf89637beb43d99e435","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":"2026-08-19T06:32:44.657259+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":"2026-08-05T05:16:57.531405Z","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":"2026-08-05T05:16:57.873162Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2205.12502","last_updated":"2023-03-02T12:33:10Z","snapshot_observed_at":"2026-08-16T16:57:52.015469Z","submitted_at":"2022-05-25T05:40:00Z","title":"The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training","version":2},"cited_work":{"arxiv_id":"2205.12502","doi":null,"metadata_source":"pith","pith_arxiv_id":"2205.12502","snapshot_observed_at":"2026-08-05T05:16:57.873162Z","title":"The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training","venue":"cs.CV","work_id":"4f035416-b2e1-428a-8194-a287c53821ea","year":2022},"citing_paper":{"arxiv_id":"2509.05669","last_updated":"2025-09-06T10:14:49Z","snapshot_observed_at":"2026-08-16T04:58:56.513298Z","submitted_at":"2025-09-06T10:14:49Z","title":"Context-Aware Multi-Turn Visual-Textual Reasoning in LVLMs via Dynamic Memory and Adaptive Visual Guidance","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T05:16:57.531405Z"},"links":{"cited_paper":"/paper/2205.12502","citing_paper":"/paper/2509.05669"},"observation_digest":"sha256:c463cecc85e2a69cce415a531b015c70a8ed2e64c40fdcac4428a0d6f0bf1446","observation_id":"bd13f6c2-a530-43be-b544-f40fa5def701","resolution":{"observed_at":"2026-08-05T05:16:57.876543Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2205.12502/citation-record","integrity":"/paper/2205.12502/integrity","json":"/paper/2205.12502/citation-record.json","paper":"/paper/2205.12502"},"outbound":[],"paper":{"arxiv_id":"2205.12502","last_updated":"2023-03-02T12:33:10Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T16:57:52.015469Z","submitted_at":"2022-05-25T05:40:00Z","title":"The Dialog Must Go On: Improving Visual Dialog via Generative Self-Training"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2205.12502."}