{"as_of":"2026-08-06T06:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:adabb77a27680e52d6606cd4701d70756fa1614ec2a16fe13785357a2a31092d","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":"2026-08-05T06:32:48.257954+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":"2026-08-05T12:12:58.469041Z","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":"2026-05-23T19:45:47.218525Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.00384","last_updated":"2022-11-02T21:42:44Z","snapshot_observed_at":"2026-07-06T14:12:59.419572Z","submitted_at":"2022-11-01T11:01:36Z","title":"The future is different: Large pre-trained language models fail in prediction tasks","version":2},"cited_work":{"arxiv_id":"2211.00384","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.00384","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"The future is different: Large pre- trained language models fail in prediction tasks","venue":null,"work_id":"f64790ef-f6f4-479d-b38d-27047ee48883","year":2022},"citing_paper":{"arxiv_id":"2410.04047","last_updated":"2026-04-10T06:16:18Z","snapshot_observed_at":"2026-07-06T19:28:18.775189Z","submitted_at":"2024-10-05T06:04:19Z","title":"TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis","version":6},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-05-23T19:45:39.130509Z"},"links":{"cited_paper":"/paper/2211.00384","citing_paper":"/paper/2410.04047"},"observation_digest":"sha256:de1513c79eae68d391560564655f85cb08f6fdaec99ca943f9092b00d93b310c","observation_id":"18006540-cbe3-4fc6-b59c-3e5898aa0105","resolution":{"observed_at":"2026-05-23T19:45:47.221718Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2211.00384","last_updated":"2022-11-02T21:42:44Z","snapshot_observed_at":"2026-07-06T14:12:59.419572Z","submitted_at":"2022-11-01T11:01:36Z","title":"The future is different: Large pre-trained language models fail in prediction tasks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.00384","snapshot_observed_at":"2026-08-05T12:12:58.469041Z","title":"The future is different: Large pre- trained language models fail in prediction tasks","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2509.01822","last_updated":"2025-09-01T22:58:57Z","snapshot_observed_at":"2026-08-05T12:12:24.063098Z","submitted_at":"2025-09-01T22:58:57Z","title":"When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-05T12:12:58.469041Z"},"links":{"cited_paper":"/paper/2211.00384","citing_paper":"/paper/2509.01822"},"observation_digest":"sha256:5390939ea22f63acef202dbd3df552a75924c1f8e5a16bd3de49abbd97e19811","observation_id":"4b900095-4b45-4df4-8a9e-a8b29ea58b6e","resolution":{"observed_at":"2026-08-05T12:12:58.469041Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2211.00384/citation-record","integrity":"/paper/2211.00384/integrity","json":"/paper/2211.00384/citation-record.json","paper":"/paper/2211.00384"},"outbound":[],"paper":{"arxiv_id":"2211.00384","last_updated":"2022-11-02T21:42:44Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T14:12:59.419572Z","submitted_at":"2022-11-01T11:01:36Z","title":"The future is different: Large pre-trained language models fail in prediction tasks"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2211.00384."}