{"as_of":"2026-08-04T19:50:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:9b1277045b2531d1c1d36b975a2025a01f38f6d4565387106f8f4a199107b135","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":"2026-08-04T06:34:03.388597+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":"2026-07-07T20:25:44.579873Z","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":"2026-07-07T20:34:09.772253Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2602.19967","last_updated":"2026-04-05T02:57:08Z","snapshot_observed_at":"2026-07-06T22:46:45.213871Z","submitted_at":"2026-02-23T15:29:50Z","title":"Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems","version":3},"cited_work":{"arxiv_id":"2602.19967","doi":null,"metadata_source":"pith","pith_arxiv_id":"2602.19967","snapshot_observed_at":"2026-07-07T20:34:09.772253Z","title":"Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems","venue":"cs.LG","work_id":"2cc26d88-5e62-4809-9a3c-a97b4560bd0c","year":2026},"citing_paper":{"arxiv_id":"2607.05271","last_updated":"2026-07-06T16:20:19Z","snapshot_observed_at":"2026-08-02T16:09:52.063855Z","submitted_at":"2026-07-06T16:20:19Z","title":"Target-Guided Selective Reweighting for Physics-Informed Neural Network Inverse Problems: A Transfer Learning Approach","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-07-07T20:25:44.579873Z"},"links":{"cited_paper":"/paper/2602.19967","citing_paper":"/paper/2607.05271"},"observation_digest":"sha256:4d5a79586e13e4726a57e297dc4c563709ca2e8697d5ddbf5f47b3c1d9d49e37","observation_id":"5e9c0197-254c-4d76-9fdb-e7f4d074627e","resolution":{"observed_at":"2026-07-07T20:34:09.775827Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2602.19967/citation-record","integrity":"/paper/2602.19967/integrity","json":"/paper/2602.19967/citation-record.json","paper":"/paper/2602.19967"},"outbound":[],"paper":{"arxiv_id":"2602.19967","last_updated":"2026-04-05T02:57:08Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T22:46:45.213871Z","submitted_at":"2026-02-23T15:29:50Z","title":"Unlearning Noise in PINNs: A Selective Pruning Framework for PDE Inverse Problems"},"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":"2026-08-04T06:34:03.388597+00:00","source":"crossref"},{"observed_at":"2026-08-04T06:33:57.428241+00:00","source":"retraction_watch"}],"thesis":"As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2602.19967."}