{"as_of":"2026-08-14T22:14:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:46a23571a8f34c761b80fc5e74cf83ba92024464df4a3592cb9b8e56bde536ae","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":"2026-08-14T06:32:32.682623+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":"2026-08-08T18:32:49.574802Z","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":"2026-06-30T08:34:27.532562Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01933","snapshot_observed_at":"2026-08-08T18:32:49.574802Z","title":"Orthogonal causal calibration","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.05676","last_updated":"2025-07-15T22:50:21Z","snapshot_observed_at":"2026-08-11T04:46:34.189760Z","submitted_at":"2025-02-08T19:52:59Z","title":"Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction","version":3},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-08T18:32:49.574802Z"},"links":{"cited_paper":"/paper/2406.01933","citing_paper":"/paper/2502.05676"},"observation_digest":"sha256:1fbf9f3c550faef5476b429ec3470c9e4aa697a6366a9fe6ffae27fba5c42452","observation_id":"9c5aefe4-f47d-4d8f-9b9d-11d2df02d553","resolution":{"observed_at":"2026-08-08T18:32:49.574802Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration","version":2},"cited_work":{"arxiv_id":"2406.01933","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01933","snapshot_observed_at":"2026-06-30T08:34:27.532562Z","title":"Orthogonal causal calibration.arXiv preprint arXiv:2406.01933","venue":null,"work_id":"926cac61-98f1-4b67-8f5a-d7fd1e2c8163","year":null},"citing_paper":{"arxiv_id":"2512.23694","last_updated":"2026-05-07T19:09:37Z","snapshot_observed_at":"2026-08-11T00:54:16.196252Z","submitted_at":"2025-12-29T18:52:18Z","title":"Bellman Calibration for $V$-Learning in Offline Reinforcement Learning","version":2},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-05-16T19:09:01.973207Z"},"links":{"cited_paper":"/paper/2406.01933","citing_paper":"/paper/2512.23694"},"observation_digest":"sha256:3b4a2c742c6ba083c3dabc9d5e71b6b78396610258605fd948aa91eebad40587","observation_id":"5fba496f-9b77-4d6d-abb7-dabdc9bf55fd","resolution":{"observed_at":"2026-05-16T19:11:11.647827Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration","version":2},"cited_work":{"arxiv_id":"2406.01933","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01933","snapshot_observed_at":"2026-06-30T08:34:27.532562Z","title":"Orthogonal causal calibration.arXiv preprint arXiv:2406.01933","venue":null,"work_id":"926cac61-98f1-4b67-8f5a-d7fd1e2c8163","year":null},"citing_paper":{"arxiv_id":"2604.21260","last_updated":"2026-04-23T04:06:08Z","snapshot_observed_at":"2026-07-06T23:07:51.979267Z","submitted_at":"2026-04-23T04:06:08Z","title":"Calibeating Prediction-Powered Inference","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-05-09T20:07:31.769767Z"},"links":{"cited_paper":"/paper/2406.01933","citing_paper":"/paper/2604.21260"},"observation_digest":"sha256:33f4e7ce52bb5d2aed37a831729764e39bc8bc66ae8c3ab03368af6895b620a0","observation_id":"64c73686-8bcf-4239-b23d-17b210fb67b9","resolution":{"observed_at":"2026-05-11T15:21:11.008261Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration","version":2},"cited_work":{"arxiv_id":"2406.01933","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01933","snapshot_observed_at":"2026-06-30T08:34:27.532562Z","title":"Orthogonal causal calibration.arXiv preprint arXiv:2406.01933","venue":null,"work_id":"926cac61-98f1-4b67-8f5a-d7fd1e2c8163","year":null},"citing_paper":{"arxiv_id":"2606.29076","last_updated":"2026-07-07T21:38:49Z","snapshot_observed_at":"2026-08-13T19:19:53.643676Z","submitted_at":"2026-06-27T20:27:17Z","title":"Doubly cross-fit debiased machine learning of heterogeneous treatment effects under principal stratification","version":1},"reference_index":81,"source":"arxiv_source","source_observed_at":"2026-06-30T08:26:47.034883Z"},"links":{"cited_paper":"/paper/2406.01933","citing_paper":"/paper/2606.29076"},"observation_digest":"sha256:dc865a9c4b17357cbd2456410baf92c1cd5c4b92244026fc12287f202acec3d8","observation_id":"bcd2e991-8737-4ea6-92ca-7b7da0abc102","resolution":{"observed_at":"2026-06-30T08:34:27.534930Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01933","snapshot_observed_at":"2026-08-02T08:33:44.410574Z","title":"arXiv preprint arXiv:2406.01933 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.05375","last_updated":"2026-07-28T16:20:46Z","snapshot_observed_at":"2026-08-13T17:58:17.954177Z","submitted_at":"2026-07-06T17:53:32Z","title":"Fitted Occupancy-Ratio Evaluation without Bellman Completeness","version":2},"reference_index":130,"source":"arxiv_source","source_observed_at":"2026-08-02T08:33:44.410574Z"},"links":{"cited_paper":"/paper/2406.01933","citing_paper":"/paper/2607.05375"},"observation_digest":"sha256:8a375984e935f8c9bc3d724ec9fc13ede2e3c04092b881e3e206215e81d33e88","observation_id":"1d484515-1b2b-46b0-954e-cfbf9b46b565","resolution":{"observed_at":"2026-08-02T08:33:44.410574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01933/citation-record","integrity":"/paper/2406.01933/integrity","json":"/paper/2406.01933/citation-record.json","paper":"/paper/2406.01933"},"outbound":[],"paper":{"arxiv_id":"2406.01933","last_updated":"2025-04-30T19:50:36Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-14T07:03:50.777520Z","submitted_at":"2024-06-04T03:35:25Z","title":"Orthogonal Causal Calibration"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.01933."}