{"as_of":"2026-08-08T04:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36daf718af212eab7254822ee3fa35dc1e1727eac35dafe4740927bee18b5937","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T14:00:10.076385Z","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":"2026-05-12T08:46:24.354357Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.15413","last_updated":"2023-07-28T09:06:50Z","snapshot_observed_at":"2026-07-06T15:59:38.850337Z","submitted_at":"2023-07-28T09:06:50Z","title":"Improving Social Media Popularity Prediction with Multiple Post Dependencies","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15413","snapshot_observed_at":"2026-08-06T14:00:10.076385Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.19863","last_updated":"2025-07-26T08:37:11Z","snapshot_observed_at":"2026-08-06T14:00:09.392366Z","submitted_at":"2025-07-26T08:37:11Z","title":"Anchoring Trends: Mitigating Social Media Popularity Prediction Drift via Feature Clustering and Expansion","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-06T14:00:10.076385Z"},"links":{"cited_paper":"/paper/2307.15413","citing_paper":"/paper/2507.19863"},"observation_digest":"sha256:195e201314d8bc96fc8206aafd97f5d7554571efe8a71ef0580852f4a72b0691","observation_id":"057fddfc-50f0-4c3a-b1eb-8168b0969117","resolution":{"observed_at":"2026-08-06T14:00:10.076385Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15413","last_updated":"2023-07-28T09:06:50Z","snapshot_observed_at":"2026-07-06T15:59:38.850337Z","submitted_at":"2023-07-28T09:06:50Z","title":"Improving Social Media Popularity Prediction with Multiple Post Dependencies","version":1},"cited_work":{"arxiv_id":"2307.15413","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15413","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"508cd6ed-d14c-4edc-a128-5b123b7549e5","year":2023},"citing_paper":{"arxiv_id":"2604.26252","last_updated":"2026-04-29T03:14:42Z","snapshot_observed_at":"2026-08-02T09:37:59.075117Z","submitted_at":"2026-04-29T03:14:42Z","title":"OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction","version":1},"reference_index":83,"source":"pdf_text","source_observed_at":"2026-05-07T14:00:15.854344Z"},"links":{"cited_paper":"/paper/2307.15413","citing_paper":"/paper/2604.26252"},"observation_digest":"sha256:e43082ee1261c9f02f745cca32f5e875c1fbd30a46101ea071919fbc36968e1b","observation_id":"917c48ad-cff8-4e86-96c4-f49866abb849","resolution":{"observed_at":"2026-05-12T08:46:24.357114Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.15413/citation-record","integrity":"/paper/2307.15413/integrity","json":"/paper/2307.15413/citation-record.json","paper":"/paper/2307.15413"},"outbound":[],"paper":{"arxiv_id":"2307.15413","last_updated":"2023-07-28T09:06:50Z","latest_version":1,"primary_category":"cs.MM","snapshot_observed_at":"2026-07-06T15:59:38.850337Z","submitted_at":"2023-07-28T09:06:50Z","title":"Improving Social Media Popularity Prediction with Multiple Post Dependencies"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.15413."}