{"as_of":"2026-08-09T10:18:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c9a59180df6572f014b75762e69ec2256e1ae6758240e4dcef7eccecfc6f3e7","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T15:24:00.434511Z","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":"2026-08-05T13:25:56.166348Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.15942","last_updated":"2025-01-27T10:40:38Z","snapshot_observed_at":"2026-07-06T20:26:37.280206Z","submitted_at":"2025-01-27T10:40:38Z","title":"TimeHF: Billion-Scale Time Series Models Guided by Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15942","snapshot_observed_at":"2026-08-07T15:24:00.434511Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.15354","last_updated":"2026-06-01T07:57:47Z","snapshot_observed_at":"2026-08-08T19:00:51.933983Z","submitted_at":"2025-05-21T10:30:02Z","title":"Human in the Loop Adaptive Optimization for Improved Time Series Forecasting","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T15:24:00.434511Z"},"links":{"cited_paper":"/paper/2501.15942","citing_paper":"/paper/2505.15354"},"observation_digest":"sha256:d6b5262a79baeb3a761466a199f80166b3925a51b3c452f1cfe95e8d853b8a35","observation_id":"c086c372-a9ee-4481-a137-bb6c646d2dfb","resolution":{"observed_at":"2026-08-07T15:24:00.434511Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15942","last_updated":"2025-01-27T10:40:38Z","snapshot_observed_at":"2026-07-06T20:26:37.280206Z","submitted_at":"2025-01-27T10:40:38Z","title":"TimeHF: Billion-Scale Time Series Models Guided by Human Feedback","version":1},"cited_work":{"arxiv_id":"2501.15942","doi":null,"metadata_source":"pith","pith_arxiv_id":"2501.15942","snapshot_observed_at":"2026-08-05T13:25:56.166348Z","title":"TimeHF: Billion-Scale Time Series Models Guided by Human Feedback","venue":"cs.LG","work_id":"a16b8b7d-06a5-4649-b6a2-1eab85156afc","year":2025},"citing_paper":{"arxiv_id":"2509.00687","last_updated":"2025-08-31T03:59:07Z","snapshot_observed_at":"2026-08-07T22:35:05.899194Z","submitted_at":"2025-08-31T03:59:07Z","title":"Text Reinforcement for Multimodal Time Series Forecasting","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-05T13:25:55.858951Z"},"links":{"cited_paper":"/paper/2501.15942","citing_paper":"/paper/2509.00687"},"observation_digest":"sha256:558b11d14eb960d127902e18f75776d036e5964dd563998c6f6eef3050cc72dd","observation_id":"46b951ed-af98-4711-8dee-f13fc1bb3aa3","resolution":{"observed_at":"2026-08-05T13:25:56.169831Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.15942","last_updated":"2025-01-27T10:40:38Z","snapshot_observed_at":"2026-07-06T20:26:37.280206Z","submitted_at":"2025-01-27T10:40:38Z","title":"TimeHF: Billion-Scale Time Series Models Guided by Human Feedback","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.15942","snapshot_observed_at":"2026-08-05T19:30:33.555859Z","title":"arXiv preprint arXiv:2501.15942 , year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.03413","last_updated":"2026-08-04T10:06:15Z","snapshot_observed_at":"2026-08-08T16:16:06.987116Z","submitted_at":"2026-08-04T10:06:15Z","title":"Enactive Artificial Intelligence: A Decision-Centric Architecture for Complex Systems","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-05T19:30:33.555859Z"},"links":{"cited_paper":"/paper/2501.15942","citing_paper":"/paper/2608.03413"},"observation_digest":"sha256:ed75bacb51d21dde66f172e4cde62e110e03818c6c8b72f5e9a29f64c1b5e1ca","observation_id":"4dd915a6-2c40-4584-8c62-3682da7f34d8","resolution":{"observed_at":"2026-08-05T19:30:33.555859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.15942/citation-record","integrity":"/paper/2501.15942/integrity","json":"/paper/2501.15942/citation-record.json","paper":"/paper/2501.15942"},"outbound":[],"paper":{"arxiv_id":"2501.15942","last_updated":"2025-01-27T10:40:38Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T20:26:37.280206Z","submitted_at":"2025-01-27T10:40:38Z","title":"TimeHF: Billion-Scale Time Series Models Guided by Human Feedback"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2501.15942."}