{"as_of":"2026-08-22T02:03:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:83c2684ac12ae6b20c16f0126819b03a2a80fc2c45f4bc553b0ae249db0afc4c","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":"2026-08-21T06:32:19.484+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":"2026-08-06T21:07:16.911480Z","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":"2026-05-12T08:46:24.387371Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.09345","last_updated":"2024-10-12T03:25:11Z","snapshot_observed_at":"2026-08-16T13:10:08.069442Z","submitted_at":"2024-10-12T03:25:11Z","title":"Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.09345","snapshot_observed_at":"2026-08-06T21:07:16.911480Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00926","last_updated":"2025-07-01T16:31:50Z","snapshot_observed_at":"2026-08-14T12:56:08.315233Z","submitted_at":"2025-07-01T16:31:50Z","title":"HyperFusion: Hierarchical Multimodal Ensemble Learning for Social Media Popularity Prediction","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-06T21:07:16.911480Z"},"links":{"cited_paper":"/paper/2410.09345","citing_paper":"/paper/2507.00926"},"observation_digest":"sha256:92023db6425dc173fedf5c01613f84bbf264b8307c21a80b33d8f3f28bff1f2a","observation_id":"033e0781-e59b-4ece-a9ef-8927c9c1e38e","resolution":{"observed_at":"2026-08-06T21:07:16.911480Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09345","last_updated":"2024-10-12T03:25:11Z","snapshot_observed_at":"2026-08-16T13:10:08.069442Z","submitted_at":"2024-10-12T03:25:11Z","title":"Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction","version":1},"cited_work":{"arxiv_id":"2410.09345","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09345","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"7175131b-1929-405f-9ac1-8b9848d51f8f","year":2024},"citing_paper":{"arxiv_id":"2604.26252","last_updated":"2026-04-29T03:14:42Z","snapshot_observed_at":"2026-08-12T20:53:19.754066Z","submitted_at":"2026-04-29T03:14:42Z","title":"OmniTrend: Content-Context Modeling for Scalable Social Popularity Prediction","version":1},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-05-07T14:00:15.854344Z"},"links":{"cited_paper":"/paper/2410.09345","citing_paper":"/paper/2604.26252"},"observation_digest":"sha256:8f81919f88fbe060cf07f4da081514e9ca2340dcc1cbf0fe95f8fdc12e496c90","observation_id":"225bac20-9fa1-4912-bf52-ac51ea31b196","resolution":{"observed_at":"2026-05-12T08:46:24.390124Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.09345/citation-record","integrity":"/paper/2410.09345/integrity","json":"/paper/2410.09345/citation-record.json","paper":"/paper/2410.09345"},"outbound":[],"paper":{"arxiv_id":"2410.09345","last_updated":"2024-10-12T03:25:11Z","latest_version":1,"primary_category":"cs.SI","snapshot_observed_at":"2026-08-16T13:10:08.069442Z","submitted_at":"2024-10-12T03:25:11Z","title":"Contrastive Learning for Implicit Social Factors in Social Media Popularity Prediction"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.09345."}