{"as_of":"2026-08-10T21:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ebcdb4fc9aca26f3de336d500be081689898a62748fbd4d53da20cc926564731","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":"2026-08-10T06:31:04.303077+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":"2026-07-15T12:56:18.518533Z","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":"2026-07-04T19:50:10.181556Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.09265","last_updated":"2025-05-14T10:25:26Z","snapshot_observed_at":"2026-08-09T13:37:22.221398Z","submitted_at":"2025-05-14T10:25:26Z","title":"MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning","version":1},"cited_work":{"arxiv_id":"2505.09265","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.09265","snapshot_observed_at":"2026-07-04T19:50:10.181556Z","title":"ArXivabs/2505.09265(2025)","venue":null,"work_id":"2ee143ce-ae8e-47e0-9e1e-5ed1146c6539","year":2025},"citing_paper":{"arxiv_id":"2602.09524","last_updated":"2026-05-09T08:05:39Z","snapshot_observed_at":"2026-07-06T22:45:15.978102Z","submitted_at":"2026-02-10T08:27:20Z","title":"HLGFA: High-Low Resolution Guided Feature Alignment for Unsupervised Anomaly Detection","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T03:05:37.320403Z"},"links":{"cited_paper":"/paper/2505.09265","citing_paper":"/paper/2602.09524"},"observation_digest":"sha256:4ec259671d545b074c56cad0460454db81b493a56756b33299043e4e62f235b6","observation_id":"4f09176f-1d71-41f3-8add-d3bc9f39e6bb","resolution":{"observed_at":"2026-05-16T03:07:11.857066Z","resolver_source":"arxiv_id","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":"2505.09265","last_updated":"2025-05-14T10:25:26Z","snapshot_observed_at":"2026-08-09T13:37:22.221398Z","submitted_at":"2025-05-14T10:25:26Z","title":"MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.09265","snapshot_observed_at":"2026-07-15T12:56:18.518533Z","title":"Metauas: Universal anomaly segmentation with one-prompt meta-learning.ArXiv, abs/2505.09265,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2603.07954","last_updated":"2026-05-28T18:05:12Z","snapshot_observed_at":"2026-08-08T01:55:03.712655Z","submitted_at":"2026-03-09T04:43:00Z","title":"Closed form perturbative relativistic modifications to wave-packet dynamics in the quantum harmonic oscillator","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-07-15T12:56:18.518533Z"},"links":{"cited_paper":"/paper/2505.09265","citing_paper":"/paper/2603.07954"},"observation_digest":"sha256:d9acb1646863e18dc84c3213375a5a9e28a81ef74dbad84507fc2a932f5529ea","observation_id":"503afe76-da78-42c8-b458-2f16c486c19f","resolution":{"observed_at":"2026-07-15T12:56:18.518533Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.09265","last_updated":"2025-05-14T10:25:26Z","snapshot_observed_at":"2026-08-09T13:37:22.221398Z","submitted_at":"2025-05-14T10:25:26Z","title":"MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning","version":1},"cited_work":{"arxiv_id":"2505.09265","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.09265","snapshot_observed_at":"2026-07-04T19:50:10.181556Z","title":"ArXivabs/2505.09265(2025)","venue":null,"work_id":"2ee143ce-ae8e-47e0-9e1e-5ed1146c6539","year":2025},"citing_paper":{"arxiv_id":"2606.25445","last_updated":"2026-06-24T06:15:24Z","snapshot_observed_at":"2026-07-06T23:59:52.373272Z","submitted_at":"2026-06-24T06:15:24Z","title":"C3-Bench: A Context-Aware Change Captioning Benchmark","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-25T21:02:52.529391Z"},"links":{"cited_paper":"/paper/2505.09265","citing_paper":"/paper/2606.25445"},"observation_digest":"sha256:11307dec5fdc74fe7b482a6dd0be54aedb0afcbc569b2a689f83ce2c5ae845b0","observation_id":"c19b1580-14ce-4b6f-94e4-2c62a53a95e7","resolution":{"observed_at":"2026-07-04T19:50:10.183077Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2505.09265/citation-record","integrity":"/paper/2505.09265/integrity","json":"/paper/2505.09265/citation-record.json","paper":"/paper/2505.09265"},"outbound":[],"paper":{"arxiv_id":"2505.09265","last_updated":"2025-05-14T10:25:26Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-09T13:37:22.221398Z","submitted_at":"2025-05-14T10:25:26Z","title":"MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning"},"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 3 inbound Pith citation observations for arXiv:2505.09265."}