{"as_of":"2026-08-06T22:59:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ab891b038b63c04d73a54777d2d8fdfca3358d6b01fc7ece0773e0f03ab0e052","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":"2026-08-06T06:34:29.942622+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":"2026-06-27T22:16:42.836058Z","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":"2026-07-02T16:57:09.922347Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.14431","last_updated":"2025-05-28T06:18:34Z","snapshot_observed_at":"2026-07-06T20:25:31.304367Z","submitted_at":"2025-01-24T11:57:39Z","title":"Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains","version":2},"cited_work":{"arxiv_id":"2501.14431","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14431","snapshot_observed_at":"2026-07-02T16:57:09.922347Z","title":"arXiv preprint arXiv:2501.14431 , year=","venue":null,"work_id":"0272dbf7-750d-49d6-af9f-4793b82a5562","year":null},"citing_paper":{"arxiv_id":"2605.11974","last_updated":"2026-05-12T11:31:18Z","snapshot_observed_at":"2026-07-06T23:23:44.276236Z","submitted_at":"2026-05-12T11:31:18Z","title":"Towards Order Fairness: Mitigating LLMs Order Sensitivity through Dual Group Advantage Optimization","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-05-13T07:32:58.404947Z"},"links":{"cited_paper":"/paper/2501.14431","citing_paper":"/paper/2605.11974"},"observation_digest":"sha256:c770366db8db21ff34fe4a7291fea5628a31168bfd1a460edadf976c1eab6c18","observation_id":"2a949fc7-ad61-42f2-bd1f-849f64e4e844","resolution":{"observed_at":"2026-05-13T07:37:29.985874Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.14431","last_updated":"2025-05-28T06:18:34Z","snapshot_observed_at":"2026-07-06T20:25:31.304367Z","submitted_at":"2025-01-24T11:57:39Z","title":"Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains","version":2},"cited_work":{"arxiv_id":"2501.14431","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.14431","snapshot_observed_at":"2026-07-02T16:57:09.922347Z","title":"arXiv preprint arXiv:2501.14431 , year=","venue":null,"work_id":"0272dbf7-750d-49d6-af9f-4793b82a5562","year":null},"citing_paper":{"arxiv_id":"2606.07020","last_updated":"2026-06-05T08:09:46Z","snapshot_observed_at":"2026-07-06T23:46:42.693840Z","submitted_at":"2026-06-05T08:09:46Z","title":"MADE: Beyond Scoring via a Multilingual Agentic Diagnosing Engine for Fine-Grained Evaluation Insights","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-06-27T22:16:42.836058Z"},"links":{"cited_paper":"/paper/2501.14431","citing_paper":"/paper/2606.07020"},"observation_digest":"sha256:7b7c8db8cd1e3bb989495cafd1aedf0fb4c45d20716b3d97aac0e01388ca1b89","observation_id":"aa4ff1f5-42f5-4a62-96a0-4dbdd8857c3d","resolution":{"observed_at":"2026-07-02T16:57:09.923767Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2501.14431/citation-record","integrity":"/paper/2501.14431/integrity","json":"/paper/2501.14431/citation-record.json","paper":"/paper/2501.14431"},"outbound":[],"paper":{"arxiv_id":"2501.14431","last_updated":"2025-05-28T06:18:34Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T20:25:31.304367Z","submitted_at":"2025-01-24T11:57:39Z","title":"Domaino1s: Guiding LLM Reasoning for Explainable Answers in High-Stakes Domains"},"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":"2026-08-06T06:34:29.942622+00:00","source":"crossref"},{"observed_at":"2026-08-06T06:34:23.284952+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:2501.14431."}