{"as_of":"2026-08-15T08:24:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:239a9800dea76a81966767adc9e30bd068fa1f93dd7a1bfc7eb9895854d61e67","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-14T04:22:27.560750Z","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":"2026-05-13T18:38:07.567414Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02823","snapshot_observed_at":"2026-08-07T04:28:26.961083Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.10546","last_updated":"2025-06-12T10:13:15Z","snapshot_observed_at":"2026-08-09T11:29:24.495276Z","submitted_at":"2025-06-12T10:13:15Z","title":"Nowcasting the euro area with social media data","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T04:28:26.961083Z"},"links":{"cited_paper":"/paper/2305.02823","citing_paper":"/paper/2506.10546"},"observation_digest":"sha256:46627cf78512df7c4f069c342ce9f4316886e36e7c9c615cb596ccd1f9bcbd5c","observation_id":"f5ac762a-4407-46e6-b324-26e57e74f724","resolution":{"observed_at":"2026-08-07T04:28:26.961083Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02823","snapshot_observed_at":"2026-08-02T18:23:04.518002Z","title":"InInternational Conference on Machine Learning, pages 2397–2430","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2603.11838","last_updated":"2026-07-23T15:24:41Z","snapshot_observed_at":"2026-08-13T14:44:20.532261Z","submitted_at":"2026-03-12T12:04:43Z","title":"DatedGPT: Preventing Lookahead Bias in Large Language Models with Time-Aware Pretraining","version":2},"reference_index":2023,"source":"pdf_text","source_observed_at":"2026-08-02T18:23:04.518002Z"},"links":{"cited_paper":"/paper/2305.02823","citing_paper":"/paper/2603.11838"},"observation_digest":"sha256:b619d5ed3fa26771407b1dfa4ad883736723f3c508b36f24877de58bec354299","observation_id":"63ea23e8-f981-4141-80b9-8f5744c30ee2","resolution":{"observed_at":"2026-08-02T18:23:04.518002Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations","version":2},"cited_work":{"arxiv_id":"2305.02823","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.02823","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e881dd40-b028-473b-8d36-0465ef05300a","year":2023},"citing_paper":{"arxiv_id":"2604.02921","last_updated":"2026-05-02T05:14:42Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-03T09:37:07Z","title":"Debiasing LLMs by Fine-tuning","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-13T18:35:23.318841Z"},"links":{"cited_paper":"/paper/2305.02823","citing_paper":"/paper/2604.02921"},"observation_digest":"sha256:a18c7a97a1eaebe7bfbf477bc30ecc383af6e757d7ea59cc87edd02cd42aace8","observation_id":"e1af57f8-8a2a-43db-b812-8b18fe1eac80","resolution":{"observed_at":"2026-05-13T18:38:07.568848Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations","version":2},"cited_work":{"arxiv_id":"2305.02823","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2305.02823","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"e881dd40-b028-473b-8d36-0465ef05300a","year":2023},"citing_paper":{"arxiv_id":"2605.09712","last_updated":"2026-05-10T19:21:12Z","snapshot_observed_at":"2026-07-06T23:21:44.900680Z","submitted_at":"2026-05-10T19:21:12Z","title":"Quantifying the Risk-Return Tradeoff in Forecasting","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-12T03:51:43.914146Z"},"links":{"cited_paper":"/paper/2305.02823","citing_paper":"/paper/2605.09712"},"observation_digest":"sha256:7e2c9af43d60396b0704ce479bef991a93e9fb31d54ee6b7b89275be5284cb5a","observation_id":"53ea01c9-3815-488b-8e06-c55d8c3b2b77","resolution":{"observed_at":"2026-05-12T06:51:30.361165Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.02823","snapshot_observed_at":"2026-08-14T04:22:27.560750Z","title":"2305.02823 , archivePrefix =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.11266","last_updated":"2026-08-10T10:17:39Z","snapshot_observed_at":"2026-08-15T08:09:50.921016Z","submitted_at":"2026-08-10T10:17:39Z","title":"Bank Run Exposure in a Paycheck-to-Paycheck Economy with Loss-Averse Depositors","version":1},"reference_index":96,"source":"arxiv_source","source_observed_at":"2026-08-14T04:22:27.560750Z"},"links":{"cited_paper":"/paper/2305.02823","citing_paper":"/paper/2608.11266"},"observation_digest":"sha256:f3db4962aafbd9f6787da26083a36a9b9d337709d3ac228cd7318682518ab207","observation_id":"cfa90682-baec-4b29-b28d-0061bde52ed4","resolution":{"observed_at":"2026-08-14T04:22:27.560750Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2305.02823/citation-record","integrity":"/paper/2305.02823/integrity","json":"/paper/2305.02823/citation-record.json","paper":"/paper/2305.02823"},"outbound":[],"paper":{"arxiv_id":"2305.02823","last_updated":"2023-05-05T11:49:50Z","latest_version":2,"primary_category":"econ.GN","snapshot_observed_at":"2026-08-13T22:38:16.855813Z","submitted_at":"2023-05-04T13:39:30Z","title":"Surveying Generative AI's Economic Expectations"},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.02823."}