{"as_of":"2026-08-12T13:15:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:779d4644d6fe42763559a8ea8efa09a1add1828ffb073fa79415847c13fb5995","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":"2026-08-12T06:34:41.77262+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":"2026-08-11T20:21:21.933656Z","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":"2026-08-11T16:24:46.253778Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.06241","last_updated":"2019-06-03T05:30:41Z","snapshot_observed_at":"2026-08-12T12:25:38.385541Z","submitted_at":"2019-05-15T15:22:01Z","title":"Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.06241","snapshot_observed_at":"2026-08-11T20:21:21.933656Z","title":"https://arxiv.org/abs/1905.06241","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2412.05850","last_updated":"2024-12-08T08:16:19Z","snapshot_observed_at":"2026-08-12T12:25:14.806198Z","submitted_at":"2024-12-08T08:16:19Z","title":"Cooperative SQL Generation for Segmented Databases By Using Multi-functional LLM Agents","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:21:21.933656Z"},"links":{"cited_paper":"/paper/1905.06241","citing_paper":"/paper/2412.05850"},"observation_digest":"sha256:0714f7929b7463463491a69d845b6d88e77cad6be22c135b74c2e321a38b6515","observation_id":"dcd740b5-191c-48b3-96de-91dd01c26f7a","resolution":{"observed_at":"2026-08-11T20:21:21.933656Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.06241","last_updated":"2019-06-03T05:30:41Z","snapshot_observed_at":"2026-08-12T12:25:38.385541Z","submitted_at":"2019-05-15T15:22:01Z","title":"Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing","version":2},"cited_work":{"arxiv_id":"1905.06241","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.06241","snapshot_observed_at":"2026-08-11T16:24:46.253778Z","title":"Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing","venue":"cs.CL","work_id":"53abd516-eb0c-4d69-a5ef-fe631367a71c","year":2019},"citing_paper":{"arxiv_id":"2412.10138","last_updated":"2025-05-26T01:39:27Z","snapshot_observed_at":"2026-08-12T12:25:13.001860Z","submitted_at":"2024-12-13T13:41:18Z","title":"ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL","version":3},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-11T16:24:45.130951Z"},"links":{"cited_paper":"/paper/1905.06241","citing_paper":"/paper/2412.10138"},"observation_digest":"sha256:aed9a47742418cbd3b9ca2346113e1540215d372b6149e33e42f40b1ad55be9b","observation_id":"bc0d5ed3-2eda-421a-aea2-030476da88fa","resolution":{"observed_at":"2026-08-11T16:24:46.263455Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.06241/citation-record","integrity":"/paper/1905.06241/integrity","json":"/paper/1905.06241/citation-record.json","paper":"/paper/1905.06241"},"outbound":[],"paper":{"arxiv_id":"1905.06241","last_updated":"2019-06-03T05:30:41Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-12T12:25:38.385541Z","submitted_at":"2019-05-15T15:22:01Z","title":"Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing"},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1905.06241."}