{"as_of":"2026-08-08T05:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:35596b5b66f623531790d0ee614ba8f15ff8a08fdfc63774359222693c626b44","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T04:09:04.195313Z","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":"2026-07-01T15:45:48.497174Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2309.15237","last_updated":"2024-02-16T05:54:35Z","snapshot_observed_at":"2026-07-06T16:24:05.806193Z","submitted_at":"2023-09-26T20:04:30Z","title":"User Experience Design Professionals' Perceptions of Generative Artificial Intelligence","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.15237","snapshot_observed_at":"2026-08-07T04:09:04.195313Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.11610","last_updated":"2025-06-13T09:33:36Z","snapshot_observed_at":"2026-08-07T04:02:03.229088Z","submitted_at":"2025-06-13T09:33:36Z","title":"\"If we misunderstand the client, we misspend 100 hours\": Exploring conversational AI and response types for information elicitation","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T04:09:04.195313Z"},"links":{"cited_paper":"/paper/2309.15237","citing_paper":"/paper/2506.11610"},"observation_digest":"sha256:8786f132ce108d189b2b8e5d41ec09145eb526c7a8348beefcf4484e87297046","observation_id":"5281a45d-c417-48b3-92fa-f21f21cdeda0","resolution":{"observed_at":"2026-08-07T04:09:04.195313Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.15237","last_updated":"2024-02-16T05:54:35Z","snapshot_observed_at":"2026-07-06T16:24:05.806193Z","submitted_at":"2023-09-26T20:04:30Z","title":"User Experience Design Professionals' Perceptions of Generative Artificial Intelligence","version":2},"cited_work":{"arxiv_id":"2309.15237","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2309.15237","snapshot_observed_at":"2026-07-01T15:45:48.497174Z","title":"InProceedings of the 2024 CHI Conference on Human Factors in Computing Systems","venue":null,"work_id":"4831b4ca-be62-4d1e-a2cb-65f39a2b54e4","year":2024},"citing_paper":{"arxiv_id":"2606.28510","last_updated":"2026-06-26T18:05:08Z","snapshot_observed_at":"2026-08-07T22:06:21.947417Z","submitted_at":"2026-06-26T18:05:08Z","title":"Generative AI Literacy Training Improves Intelligence Analysts' Discrimination of Real and AI-Generated Images","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-06-30T01:08:22.794058Z"},"links":{"cited_paper":"/paper/2309.15237","citing_paper":"/paper/2606.28510"},"observation_digest":"sha256:64760ffcb55d79be43fb6ea8649cd84aa3adb65c8223c7eaf695149fc837f97d","observation_id":"67670770-ec7e-4911-9e41-b879c7c44160","resolution":{"observed_at":"2026-07-01T15:45:48.498798Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2309.15237/citation-record","integrity":"/paper/2309.15237/integrity","json":"/paper/2309.15237/citation-record.json","paper":"/paper/2309.15237"},"outbound":[],"paper":{"arxiv_id":"2309.15237","last_updated":"2024-02-16T05:54:35Z","latest_version":2,"primary_category":"cs.CY","snapshot_observed_at":"2026-07-06T16:24:05.806193Z","submitted_at":"2023-09-26T20:04:30Z","title":"User Experience Design Professionals' Perceptions of Generative Artificial Intelligence"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2309.15237."}