{"as_of":"2026-08-08T18:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2435e497eb03a017dd31ab970ead577ea6ac7174e6dd746e0bdbfb1b9ef4de10","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:10:23.750327Z","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":"2026-05-12T06:06:26.638514Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.07762","last_updated":"2019-12-20T04:58:04Z","snapshot_observed_at":"2026-08-05T01:00:20.354647Z","submitted_at":"2019-10-17T08:21:17Z","title":"Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.07762","snapshot_observed_at":"2026-08-07T12:10:23.750327Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.00557","last_updated":"2025-05-31T13:26:51Z","snapshot_observed_at":"2026-08-07T12:00:35.050198Z","submitted_at":"2025-05-31T13:26:51Z","title":"Score Matching With Missing Data","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:10:23.750327Z"},"links":{"cited_paper":"/paper/1910.07762","citing_paper":"/paper/2506.00557"},"observation_digest":"sha256:49773a08fc8b73c497a5374b7821fc52376345a7c81d7529d5622b14524c94ca","observation_id":"3fb7a4a5-f234-427e-b9ff-46700ec783b2","resolution":{"observed_at":"2026-08-07T12:10:23.750327Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.07762","last_updated":"2019-12-20T04:58:04Z","snapshot_observed_at":"2026-08-05T01:00:20.354647Z","submitted_at":"2019-10-17T08:21:17Z","title":"Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching","version":2},"cited_work":{"arxiv_id":"1910.07762","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.07762","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning energy-based models in high-dimensional spaces with multi-scale denoising score matching","venue":null,"work_id":"4f760584-fb90-4342-b0d6-beee51c92b46","year":1910},"citing_paper":{"arxiv_id":"2605.07513","last_updated":"2026-05-08T09:44:33Z","snapshot_observed_at":"2026-07-31T16:01:13.899057Z","submitted_at":"2026-05-08T09:44:33Z","title":"Tessellations of Semi-Discrete Flow Matching","version":1},"reference_index":170,"source":"arxiv_source","source_observed_at":"2026-05-11T02:37:06.288757Z"},"links":{"cited_paper":"/paper/1910.07762","citing_paper":"/paper/2605.07513"},"observation_digest":"sha256:73e0b24b88f8fb0026bedffa0c8cc84c4e6b2de2d7a75e9d09d31dc533910b56","observation_id":"eb9e04db-5922-4c1a-af93-c0f137f4ad8e","resolution":{"observed_at":"2026-05-11T03:10:53.690455Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"1910.07762","last_updated":"2019-12-20T04:58:04Z","snapshot_observed_at":"2026-08-05T01:00:20.354647Z","submitted_at":"2019-10-17T08:21:17Z","title":"Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching","version":2},"cited_work":{"arxiv_id":"1910.07762","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"1910.07762","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Learning energy-based models in high-dimensional spaces with multi-scale denoising score matching","venue":null,"work_id":"4f760584-fb90-4342-b0d6-beee51c92b46","year":1910},"citing_paper":{"arxiv_id":"2605.09685","last_updated":"2026-05-10T18:12:22Z","snapshot_observed_at":"2026-07-06T23:21:44.900680Z","submitted_at":"2026-05-10T18:12:22Z","title":"Learning Unified Representations of Normalcy for Time Series Anomaly Detection","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T04:35:37.496154Z"},"links":{"cited_paper":"/paper/1910.07762","citing_paper":"/paper/2605.09685"},"observation_digest":"sha256:e99a9346479158208179ab235515b9ee2e88923736dd9981069e7e290ca5d351","observation_id":"6a72602b-f3c6-4c71-990f-6fd6516abe66","resolution":{"observed_at":"2026-05-12T06:06:26.644335Z","resolver_source":"arxiv_id","status":"verified_exact"},"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/1910.07762/citation-record","integrity":"/paper/1910.07762/integrity","json":"/paper/1910.07762/citation-record.json","paper":"/paper/1910.07762"},"outbound":[],"paper":{"arxiv_id":"1910.07762","last_updated":"2019-12-20T04:58:04Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-05T01:00:20.354647Z","submitted_at":"2019-10-17T08:21:17Z","title":"Learning Energy-Based Models in High-Dimensional Spaces with Multi-scale Denoising Score Matching"},"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 3 inbound Pith citation observations for arXiv:1910.07762."}