{"as_of":"2026-07-23T09:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c027006c83e8d202ed667fdc017163420c2fbb87ff49e1dc43fc8fea1e6c46b1","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-07-23T06:31:01.910684+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-27T07:36:40.432193Z","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":"2026-07-03T13:48:20.977177Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.09132","last_updated":"2025-02-27T14:51:24Z","snapshot_observed_at":"2026-07-06T19:32:02.130965Z","submitted_at":"2024-10-11T13:24:57Z","title":"When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning","version":2},"cited_work":{"arxiv_id":"2410.09132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09132","snapshot_observed_at":"2026-07-03T13:48:20.977177Z","title":"arXiv preprint arXiv:2410.09132 , year =","venue":null,"work_id":"f6d754df-69ed-42e6-855d-9b7a5ede6689","year":2024},"citing_paper":{"arxiv_id":"2605.12584","last_updated":"2026-05-12T17:30:15Z","snapshot_observed_at":"2026-07-06T23:24:13.851504Z","submitted_at":"2026-05-12T17:30:15Z","title":"Towards Robust Federated Multimodal Graph Learning under Modality Heterogeneity","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-05-14T21:55:27.952634Z"},"links":{"cited_paper":"/paper/2410.09132","citing_paper":"/paper/2605.12584"},"observation_digest":"sha256:063a0f080396b79d142bdade18e2a9b3f72ea3a42f5ef118d6ee8304f0c74dbe","observation_id":"465a3aea-b17b-4a73-8d36-7f4440ffd612","resolution":{"observed_at":"2026-05-14T21:58:03.461014Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-23T06:31:01.910684+00:00","source":"crossref"},{"observed_at":"2026-07-23T06:30:56.940895+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09132","last_updated":"2025-02-27T14:51:24Z","snapshot_observed_at":"2026-07-06T19:32:02.130965Z","submitted_at":"2024-10-11T13:24:57Z","title":"When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning","version":2},"cited_work":{"arxiv_id":"2410.09132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09132","snapshot_observed_at":"2026-07-03T13:48:20.977177Z","title":"arXiv preprint arXiv:2410.09132 , year =","venue":null,"work_id":"f6d754df-69ed-42e6-855d-9b7a5ede6689","year":2024},"citing_paper":{"arxiv_id":"2606.12863","last_updated":"2026-06-16T15:47:06Z","snapshot_observed_at":"2026-07-06T23:51:45.306189Z","submitted_at":"2026-06-11T03:47:03Z","title":"Multimodal Graph Negative Learning","version":2},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-06-27T07:36:40.432193Z"},"links":{"cited_paper":"/paper/2410.09132","citing_paper":"/paper/2606.12863"},"observation_digest":"sha256:4f4fc68d670d45a3d82cfe3f21db6720436678a5be39986e6e73a3036d458459","observation_id":"7d418b4c-fd00-4e7a-b470-1c2eee9fea82","resolution":{"observed_at":"2026-07-03T13:48:20.689928Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-23T06:31:01.910684+00:00","source":"crossref"},{"observed_at":"2026-07-23T06:30:56.940895+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.09132","last_updated":"2025-02-27T14:51:24Z","snapshot_observed_at":"2026-07-06T19:32:02.130965Z","submitted_at":"2024-10-11T13:24:57Z","title":"When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning","version":2},"cited_work":{"arxiv_id":"2410.09132","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.09132","snapshot_observed_at":"2026-07-03T13:48:20.977177Z","title":"arXiv preprint arXiv:2410.09132 , year =","venue":null,"work_id":"f6d754df-69ed-42e6-855d-9b7a5ede6689","year":2024},"citing_paper":{"arxiv_id":"2606.12867","last_updated":"2026-06-16T15:30:36Z","snapshot_observed_at":"2026-07-06T23:51:45.306189Z","submitted_at":"2026-06-11T03:54:35Z","title":"SMGFM: Spectral Multimodal Graph Pretraining for Multimodal-Attributed Graphs","version":2},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-27T07:31:45.533495Z"},"links":{"cited_paper":"/paper/2410.09132","citing_paper":"/paper/2606.12867"},"observation_digest":"sha256:6496a51ce4969e47bd2e80edfdb56debd43e5d0a37d57011590d53d684d649f2","observation_id":"397c179c-d239-4a6a-8295-34fdd3cf0696","resolution":{"observed_at":"2026-07-03T13:48:20.978972Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-23T06:31:01.910684+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-23T06:31:01.910684+00:00","source":"crossref"},{"observed_at":"2026-07-23T06:30:56.940895+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.09132/citation-record","integrity":"/paper/2410.09132/integrity","json":"/paper/2410.09132/citation-record.json","paper":"/paper/2410.09132"},"outbound":[],"paper":{"arxiv_id":"2410.09132","last_updated":"2025-02-27T14:51:24Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T19:32:02.130965Z","submitted_at":"2024-10-11T13:24:57Z","title":"When Graph meets Multimodal: Benchmarking and Meditating on Multimodal Attributed Graphs Learning"},"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":"2026-07-23T06:31:01.910684+00:00","source":"crossref"},{"observed_at":"2026-07-23T06:30:56.940895+00:00","source":"retraction_watch"}],"thesis":"As of 23 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.09132."}