{"as_of":"2026-08-10T12:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b54da632e016d13f9babc55c1e42e741564386f4ba848e30695cacdcbf53214b","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":"2026-08-09T13:02:37.497170Z","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":"2026-08-09T13:02:37.761262Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2312.05239","last_updated":"2024-11-16T20:48:41Z","snapshot_observed_at":"2026-08-03T08:53:36.629865Z","submitted_at":"2023-12-08T18:44:09Z","title":"SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation","version":7},"cited_work":{"arxiv_id":"2312.05239","doi":null,"metadata_source":"pith","pith_arxiv_id":"2312.05239","snapshot_observed_at":"2026-08-09T13:02:37.761262Z","title":"SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation","venue":"cs.CV","work_id":"dce951bc-51e1-46d7-81da-ccd5b4d9764a","year":2023},"citing_paper":{"arxiv_id":"2502.02215","last_updated":"2025-03-21T18:51:58Z","snapshot_observed_at":"2026-08-09T14:30:19.640160Z","submitted_at":"2025-02-04T10:51:20Z","title":"InterLCM: Low-Quality Images as Intermediate States of Latent Consistency Models for Effective Blind Face Restoration","version":2},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-09T13:02:37.497170Z"},"links":{"cited_paper":"/paper/2312.05239","citing_paper":"/paper/2502.02215"},"observation_digest":"sha256:350e8a568952fdd9f6e3398015af6c5e807536be9cc056d7a5906c7d0b3958b1","observation_id":"c46bfa33-803d-4f3f-a489-07f204d93b8f","resolution":{"observed_at":"2026-08-09T13:02:37.768366Z","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":"2312.05239","last_updated":"2024-11-16T20:48:41Z","snapshot_observed_at":"2026-08-03T08:53:36.629865Z","submitted_at":"2023-12-08T18:44:09Z","title":"SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.05239","snapshot_observed_at":"2026-08-01T16:42:35.514436Z","title":"arXiv preprint arXiv:2312.05239 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.26404","last_updated":"2026-07-29T02:35:55Z","snapshot_observed_at":"2026-08-03T19:06:45.585998Z","submitted_at":"2026-07-29T02:35:55Z","title":"Examining the Efficacy of Graph Neural Network Message-Passing in Regression Contexts","version":1},"reference_index":276,"source":"arxiv_source","source_observed_at":"2026-08-01T16:42:35.514436Z"},"links":{"cited_paper":"/paper/2312.05239","citing_paper":"/paper/2607.26404"},"observation_digest":"sha256:3b3b437bbe5937a79521790b35e9a375d30921bfc478726fa75aa7d0688118fd","observation_id":"feeddfa1-1b50-4089-8be5-5feb27eeb8b5","resolution":{"observed_at":"2026-08-01T16:42:35.514436Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2312.05239/citation-record","integrity":"/paper/2312.05239/integrity","json":"/paper/2312.05239/citation-record.json","paper":"/paper/2312.05239"},"outbound":[],"paper":{"arxiv_id":"2312.05239","last_updated":"2024-11-16T20:48:41Z","latest_version":7,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T08:53:36.629865Z","submitted_at":"2023-12-08T18:44:09Z","title":"SwiftBrush: One-Step Text-to-Image Diffusion Model with Variational Score Distillation"},"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:2312.05239."}