{"as_of":"2026-08-10T11:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6ca9d30d64eec348528da61999b34fa4675f31605388365344d226b5d96e137c","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":"2026-08-10T06:31:04.303077+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":"2026-08-06T23:21:47.984862Z","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":"2026-08-06T23:21:49.044829Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.16816","last_updated":"2023-09-28T19:46:07Z","snapshot_observed_at":"2026-07-06T16:25:09.382064Z","submitted_at":"2023-09-28T19:46:07Z","title":"PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers","version":1},"cited_work":{"arxiv_id":"2309.16816","doi":null,"metadata_source":"pith","pith_arxiv_id":"2309.16816","snapshot_observed_at":"2026-08-06T23:21:49.044829Z","title":"PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers","venue":"cs.LG","work_id":"7348338e-d8d8-43ce-84ba-f73365d2472f","year":2023},"citing_paper":{"arxiv_id":"2506.18427","last_updated":"2025-06-23T09:08:10Z","snapshot_observed_at":"2026-08-09T15:24:05.481281Z","submitted_at":"2025-06-23T09:08:10Z","title":"Neural-operator element method: Efficient and scalable finite element method enabled by reusable neural operators","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-06T23:21:47.984862Z"},"links":{"cited_paper":"/paper/2309.16816","citing_paper":"/paper/2506.18427"},"observation_digest":"sha256:a5d3aa37171e3e00a77d6f49410d0f07c1fd2caf6f1082499e0541949b9f4285","observation_id":"64b7b74e-41eb-434c-924c-e5a57b7b4e93","resolution":{"observed_at":"2026-08-06T23:21:49.265131Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2309.16816","last_updated":"2023-09-28T19:46:07Z","snapshot_observed_at":"2026-07-06T16:25:09.382064Z","submitted_at":"2023-09-28T19:46:07Z","title":"PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.16816","snapshot_observed_at":"2026-08-03T00:32:10.694403Z","title":"InProceedings of the24thACMSIGKDDInternationalConferenceonKnowl- edge Discovery and Data Mining, 1754–1763","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2607.28762","last_updated":"2026-07-30T18:28:50Z","snapshot_observed_at":"2026-08-06T14:54:34.095386Z","submitted_at":"2026-07-30T18:28:50Z","title":"Feature Interaction Modeling for Physics-Informed Neural Networks and Neural Operators","version":1},"reference_index":2018,"source":"pdf_text","source_observed_at":"2026-08-03T00:32:10.694403Z"},"links":{"cited_paper":"/paper/2309.16816","citing_paper":"/paper/2607.28762"},"observation_digest":"sha256:57fd15d263a331a6ea9c1bce23290eed0fc96a8a34ca82279590e8cf424d61db","observation_id":"2a74ed14-2bdc-406f-9d92-63232f62701f","resolution":{"observed_at":"2026-08-03T00:32:10.694403Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2309.16816/citation-record","integrity":"/paper/2309.16816/integrity","json":"/paper/2309.16816/citation-record.json","paper":"/paper/2309.16816"},"outbound":[],"paper":{"arxiv_id":"2309.16816","last_updated":"2023-09-28T19:46:07Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T16:25:09.382064Z","submitted_at":"2023-09-28T19:46:07Z","title":"PROSE: Predicting Operators and Symbolic Expressions using Multimodal Transformers"},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+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:2309.16816."}