{"as_of":"2026-08-19T21:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d9b5336cfcfab817da89620538a46521aabe045ba7ef29d885a851980a91cfab","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T14:29:53.637670Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"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":23,"source":"pdf_text","source_observed_at":"2026-05-09T20:07:31.769767Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2604.21260"},"observation_digest":"sha256:81440907718583fe6ba58384cdec5f4c8c961da1d532d7cd48c807233eaf52b5","observation_id":"f80f63e1-ea60-47db-b71e-d7464cb85cc2","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2605.29249","last_updated":"2026-05-28T02:09:38Z","snapshot_observed_at":"2026-08-13T00:23:09.386674Z","submitted_at":"2026-05-28T02:09:38Z","title":"Prediction-Powered Inference Across Many Tasks for AI Evaluation & Social Science Research","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-29T06:00:59.614364Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2605.29249"},"observation_digest":"sha256:04c060235164c84709ee7dcd3d08c868ef99d89eb594eb2b42f1ee3c61466b41","observation_id":"48143527-7a92-4052-b018-522d91aad4fb","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2605.31278","last_updated":"2026-06-04T07:25:36Z","snapshot_observed_at":"2026-08-12T18:06:40.501411Z","submitted_at":"2026-05-29T13:10:35Z","title":"Industrializing Prediction-Powered Inference: The GLIDE Library for Reliable GenAI and Agentic Systems Evaluation","version":2},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-28T22:27:20.517773Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2605.31278"},"observation_digest":"sha256:0352d6c466bc4837d1bc7f6be85676213587076e9dec6d390874a93a846557ac","observation_id":"6d4716b5-20f3-4b33-a787-9932bf51c55b","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2606.08853","last_updated":"2026-06-07T21:45:17Z","snapshot_observed_at":"2026-08-15T15:07:19.902051Z","submitted_at":"2026-06-07T21:45:17Z","title":"AI-Assisted Variance Reduction in Randomized Experiments","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-06-27T17:19:30.805562Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2606.08853"},"observation_digest":"sha256:a183bfece01f1464ebc91ca51986bb6f0a221475eb60c86246fb3e17e0f4be6e","observation_id":"dbd40630-a3cb-4063-8991-9aa57401bd9e","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2606.09351","last_updated":"2026-06-08T11:25:10Z","snapshot_observed_at":"2026-08-13T01:57:29.264641Z","submitted_at":"2026-06-08T11:25:10Z","title":"In-Context Learning for the Imputation of Public Opinion Data with Large Language Models","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-06-27T16:29:03.226336Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2606.09351"},"observation_digest":"sha256:a62f6df550d95b10dc569c91b9f707cdffc006bd51629f72cc1e334189ba33b7","observation_id":"20bdffd7-63e0-4410-8c2f-a3e6bb11d0a1","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2606.13629","last_updated":"2026-06-11T17:41:09Z","snapshot_observed_at":"2026-08-17T14:59:43.357778Z","submitted_at":"2026-06-11T17:41:09Z","title":"Valid Inference with Synthetic Data via Task Exchangeability","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-06-27T05:39:58.964043Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2606.13629"},"observation_digest":"sha256:f34a572233c02d06cc4f4573ccbe2214cad3603c3542b8ac67117968d15b0963","observation_id":"5af4d0cb-4d70-4804-aabf-82982850d7ae","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":"2601.20819","doi":"10.48550/arxiv.2601.20819","metadata_source":"arxiv_reference","pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-11T02:15:54.075265Z","title":"Demystifying prediction powered inference.arXiv preprint arXiv:2601.20819","venue":"Open MIND","work_id":"eca1a38e-1f6e-42a1-8c3d-d89fea87fcac","year":2013},"citing_paper":{"arxiv_id":"2606.25601","last_updated":"2026-06-24T09:07:26Z","snapshot_observed_at":"2026-08-17T14:02:22.117828Z","submitted_at":"2026-06-24T09:07:26Z","title":"Statistically Valid Hyperparameter Selection: From Tuning to Guarantees","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-06-25T20:21:24.497429Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2606.25601"},"observation_digest":"sha256:55c6e5e3ad012680909f81fc16007d933cdec28aebf072c3ba3dbb466a021ef7","observation_id":"7e2c2b82-b65c-4083-85c9-0abe5d274b68","resolution":{"observed_at":"2026-08-11T02:15:54.075265Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"crossref_status_cache"},{"observed_at":"2026-08-14T20:38:27.532856+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-12T00:57:13.675158Z","title":"and Parikh, Harsh and Gu, Tian , month = jan, year =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.07841","last_updated":"2026-08-08T00:48:59Z","snapshot_observed_at":"2026-08-19T06:13:31.686170Z","submitted_at":"2026-08-08T00:48:59Z","title":"Debiased Machine Learning for Partially Linear Accelerated Failure Time Models","version":1},"reference_index":220,"source":"arxiv_source","source_observed_at":"2026-08-12T00:57:13.675158Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2608.07841"},"observation_digest":"sha256:89dc5e31a03a6324ee4117311ad825daf6c9c57ab27d681a179320c5872d966f","observation_id":"4743ccba-b73c-4370-9c3e-2d3070776ab2","resolution":{"observed_at":"2026-08-12T00:57:13.675158Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2601.20819","snapshot_observed_at":"2026-08-15T14:29:53.637670Z","title":"M., Parikh, H., and Gu, T","venue":null,"work_id":null,"year":2026},"citing_paper":{"arxiv_id":"2608.10356","last_updated":"2026-08-11T01:28:47Z","snapshot_observed_at":"2026-08-19T01:58:26.110268Z","submitted_at":"2026-08-11T01:28:47Z","title":"Design-Based Prediction-Powered Inference for Spatial Data","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-15T14:29:53.637670Z"},"links":{"cited_paper":"/paper/2601.20819","citing_paper":"/paper/2608.10356"},"observation_digest":"sha256:6d754744d7bee2cd86fecc77b917849344d7a12b878ab3972cddbcbf85726e45","observation_id":"13828ae2-05ce-4263-919a-3e8f07a13227","resolution":{"observed_at":"2026-08-15T14:29:53.637670Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2601.20819/citation-record","integrity":"/paper/2601.20819/integrity","json":"/paper/2601.20819/citation-record.json","paper":"/paper/2601.20819"},"outbound":[],"paper":{"arxiv_id":"2601.20819","last_updated":"2026-08-08T20:55:19Z","latest_version":2,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-19T16:14:30.652993Z","submitted_at":"2026-01-28T18:16:02Z","title":"Demystifying Prediction Powered Inference"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2601.20819."}