{"as_of":"2026-08-10T01:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7092c5ebe504b180437e2084d725470a686bca87b0e9e48bfd345eddb17458d4","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-01T02:53:55.758721Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-22T21:05:10.251745Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2403.12356","last_updated":"2024-03-19T01:58:59Z","snapshot_observed_at":"2026-08-07T09:53:38.497980Z","submitted_at":"2024-03-19T01:58:59Z","title":"MoodSmith: Enabling Mood-Consistent Multimedia for AI-Generated Advocacy Campaigns","version":1},"cited_work":{"arxiv_id":"2403.12356","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2403.12356","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"c4fbf269-a09a-47d3-b25b-d5caa663447e","year":2024},"citing_paper":{"arxiv_id":"2504.11795","last_updated":"2026-04-08T23:56:25Z","snapshot_observed_at":"2026-08-02T21:46:56.918607Z","submitted_at":"2025-04-16T06:02:31Z","title":"Schemex: Discovering Structural Abstractions from Examples","version":3},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-22T21:02:23.642818Z"},"links":{"cited_paper":"/paper/2403.12356","citing_paper":"/paper/2504.11795"},"observation_digest":"sha256:150a6fb7acc016d981c356af5b3ed58851a0cb5021a67e74bf10e1bf2db00018","observation_id":"1ab10744-6980-4f1b-87bc-e309ed748fad","resolution":{"observed_at":"2026-05-22T21:05:10.254330Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.12356","last_updated":"2024-03-19T01:58:59Z","snapshot_observed_at":"2026-08-07T09:53:38.497980Z","submitted_at":"2024-03-19T01:58:59Z","title":"MoodSmith: Enabling Mood-Consistent Multimedia for AI-Generated Advocacy Campaigns","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.12356","snapshot_observed_at":"2026-08-01T02:53:55.758721Z","title":"arXiv preprint arXiv:2403.12356 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.25314","last_updated":"2026-07-28T05:52:44Z","snapshot_observed_at":"2026-08-06T09:50:54.566076Z","submitted_at":"2026-07-28T05:52:44Z","title":"Sense it with your eyes: Sensation Generation and Understanding for Advertisements","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-01T02:53:55.758721Z"},"links":{"cited_paper":"/paper/2403.12356","citing_paper":"/paper/2607.25314"},"observation_digest":"sha256:09a9643edb478cb007fb69dcdffa446c163e421c2141cf1595eaace94e21894c","observation_id":"1959022b-f561-44b3-a92c-3699f9cdf06e","resolution":{"observed_at":"2026-08-01T02:53:55.758721Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2403.12356/citation-record","integrity":"/paper/2403.12356/integrity","json":"/paper/2403.12356/citation-record.json","paper":"/paper/2403.12356"},"outbound":[],"paper":{"arxiv_id":"2403.12356","last_updated":"2024-03-19T01:58:59Z","latest_version":1,"primary_category":"cs.HC","snapshot_observed_at":"2026-08-07T09:53:38.497980Z","submitted_at":"2024-03-19T01:58:59Z","title":"MoodSmith: Enabling Mood-Consistent Multimedia for AI-Generated Advocacy Campaigns"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.12356."}