{"as_of":"2026-08-12T03:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:42595a484d930b49ec2f1f9bbdf55ac9358c5a68d53e7a34ac6d1b74b0710bea","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":"2026-08-11T06:34:44.6726+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":"2026-08-10T19:15:43.891460Z","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":"2026-07-02T06:06:40.925676Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1911.00231","last_updated":"2019-11-01T07:09:08Z","snapshot_observed_at":"2026-08-09T07:44:00.688404Z","submitted_at":"2019-11-01T07:09:08Z","title":"Extending Relational Query Processing with ML Inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1911.00231","snapshot_observed_at":"2026-08-10T19:15:43.891460Z","title":"Extending relational query processing with ml inference","venue":null,"work_id":null,"year":1911},"citing_paper":{"arxiv_id":"2501.10560","last_updated":"2025-01-17T21:30:55Z","snapshot_observed_at":"2026-08-10T19:05:47.407886Z","submitted_at":"2025-01-17T21:30:55Z","title":"Picachv: Formally Verified Data Use Policy Enforcement for Secure Data Analytics","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-10T19:15:43.891460Z"},"links":{"cited_paper":"/paper/1911.00231","citing_paper":"/paper/2501.10560"},"observation_digest":"sha256:03f55498eee14626d2e832dc720cdfcd8d157c2bac1ff1b4e64d66faed3d5014","observation_id":"1fa40907-f955-4333-b716-cbd1bda5c3fe","resolution":{"observed_at":"2026-08-10T19:15:43.891460Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1911.00231","last_updated":"2019-11-01T07:09:08Z","snapshot_observed_at":"2026-08-09T07:44:00.688404Z","submitted_at":"2019-11-01T07:09:08Z","title":"Extending Relational Query Processing with ML Inference","version":1},"cited_work":{"arxiv_id":"1911.00231","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1911.00231","snapshot_observed_at":"2026-07-02T06:06:40.925676Z","title":null,"venue":null,"work_id":"1cc6273b-8c83-49a8-8089-065f29b455ec","year":2019},"citing_paper":{"arxiv_id":"2606.03946","last_updated":"2026-06-02T17:36:06Z","snapshot_observed_at":"2026-08-02T16:43:24.462893Z","submitted_at":"2026-06-02T17:36:06Z","title":"MLSkip: Data Skipping for ML Filters via Lightweight Metadata","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-06-28T07:44:30.508874Z"},"links":{"cited_paper":"/paper/1911.00231","citing_paper":"/paper/2606.03946"},"observation_digest":"sha256:8d76ff173a21524732fad05e704ba82241f15ee5ff94ad0f8ddb9617cb6483b0","observation_id":"020e5947-f14f-45e5-b321-09bbf5f31249","resolution":{"observed_at":"2026-07-02T06:06:40.927751Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1911.00231/citation-record","integrity":"/paper/1911.00231/integrity","json":"/paper/1911.00231/citation-record.json","paper":"/paper/1911.00231"},"outbound":[],"paper":{"arxiv_id":"1911.00231","last_updated":"2019-11-01T07:09:08Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-09T07:44:00.688404Z","submitted_at":"2019-11-01T07:09:08Z","title":"Extending Relational Query Processing with ML Inference"},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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:1911.00231."}