{"as_of":"2026-08-08T16:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e8218261dbe29b3bdd0fc2df820a0fc71d7e3d2334bcd8adc2e70e21fdc9713c","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":"2026-08-08T06:32:00.761636+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":"2026-08-05T00:36:50.745563Z","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":"2026-08-05T00:36:50.789010Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1901.10610","last_updated":"2021-04-22T02:38:26Z","snapshot_observed_at":"2026-07-06T07:29:54.776219Z","submitted_at":"2019-01-29T23:32:20Z","title":"Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning","version":3},"cited_work":{"arxiv_id":"1901.10610","doi":null,"metadata_source":"pith","pith_arxiv_id":"1901.10610","snapshot_observed_at":"2026-08-05T00:36:50.789010Z","title":"Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target Learning","venue":"cs.LG","work_id":"3eb5075f-a134-42c5-a0b5-354d358375bc","year":2019},"citing_paper":{"arxiv_id":"2608.00621","last_updated":"2026-08-01T12:24:54Z","snapshot_observed_at":"2026-08-06T23:17:32.387178Z","submitted_at":"2026-08-01T12:24:54Z","title":"RHEA: Reliability-Harmonized Reconstruction and Assignment for Robust Multimodal-Attributed Graph Clustering","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-05T00:36:50.745563Z"},"links":{"cited_paper":"/paper/1901.10610","citing_paper":"/paper/2608.00621"},"observation_digest":"sha256:41f6ea8e2f4bb2500ca706dab28b9c3d5a95155e18b2c3f8988dff7e588867d1","observation_id":"973edcc1-6d38-4203-befd-2770373cff2d","resolution":{"observed_at":"2026-08-05T00:36:50.794543Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1901.10610/citation-record","integrity":"/paper/1901.10610/integrity","json":"/paper/1901.10610/citation-record.json","paper":"/paper/1901.10610"},"outbound":[],"paper":{"arxiv_id":"1901.10610","last_updated":"2021-04-22T02:38:26Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:29:54.776219Z","submitted_at":"2019-01-29T23:32:20Z","title":"Robust Deep Multi-Modal Sensor Fusion using Fusion Weight Regularization and Target 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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1901.10610."}