{"as_of":"2026-08-08T06:53:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5e3b9a639e4a81d5252766e9440221df1caebc19fe6a1b91836ff6fd88ead2d5","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T00:15:14.216409Z","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":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-08-03T23:17:29.379509Z","title":"arXiv preprint arXiv:2505.04651 (2025)","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.06701","last_updated":"2026-07-01T02:17:57Z","snapshot_observed_at":"2026-08-06T13:40:53.797530Z","submitted_at":"2025-11-10T04:42:30Z","title":"Structural Enforcement of Statistical Rigor in AI-Driven Discovery: A Functional Architecture","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-03T23:17:29.379509Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2511.06701"},"observation_digest":"sha256:fb6feca98e6c7f0ec0c8f5180d5321897f8635b9314e9b22ffbf6e3643aa3180","observation_id":"3f1cd496-e7d9-4aa3-8739-5109d4c54ad1","resolution":{"observed_at":"2026-08-03T23:17:29.379509Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":"2505.04651","doi":"10.48550/arxiv.2505.04651","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientifichypothesisgenerationandvalida- tion:Methods,datasets,andfuturedirections","venue":"ArXiv.org","work_id":"469f3514-8bdc-4141-8738-0f770adb623b","year":2025},"citing_paper":{"arxiv_id":"2605.18144","last_updated":"2026-05-18T09:50:11Z","snapshot_observed_at":"2026-08-03T09:39:30.562301Z","submitted_at":"2026-05-18T09:50:11Z","title":"Evidence-Grounded Frontier Mapping and Agentic Hypothesis Generation in Nanomedicine","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-05-20T10:40:04.949334Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2605.18144"},"observation_digest":"sha256:0e91a6a4ddd5bc4d7e3d215a1df80f451c71eda19db61e405752f9e5c577cf0b","observation_id":"290b560f-4098-4835-bcd9-0c0ce0ae8467","resolution":{"observed_at":"2026-05-20T10:43:12.384589Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-05-23T01:53:44.249676+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T01:53:44.249676+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-07-14T18:50:02.070125Z","title":"Peter Jansen, Oyvind Tafjord, Marissa Radensky, Pao Siangliulue, Tom Hope, Bhavana Dalvi Mishra, Bod- hisattwa Prasad Majumder, Daniel S Weld, and Pe- ter Clark","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2605.24017","last_updated":"2026-07-11T11:45:39Z","snapshot_observed_at":"2026-08-04T11:37:16.318922Z","submitted_at":"2026-05-20T04:46:18Z","title":"CMAX-CAMEL: A Coarse-to-Fine Adaptive, Memory-Efficient, and Low-Power Edge Processor for Contrast Maximization","version":2},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-07-14T18:50:02.070125Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2605.24017"},"observation_digest":"sha256:cb850892351af1c71d42f5f03f463893c180678f6650d77640b4a1e4f250adbc","observation_id":"87caa777-0906-4248-8b5a-93f951c1082b","resolution":{"observed_at":"2026-07-14T18:50:02.070125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":"2505.04651","doi":"10.48550/arxiv.2505.04651","metadata_source":"arxiv_reference","pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Scientifichypothesisgenerationandvalida- tion:Methods,datasets,andfuturedirections","venue":"ArXiv.org","work_id":"469f3514-8bdc-4141-8738-0f770adb623b","year":2025},"citing_paper":{"arxiv_id":"2606.07937","last_updated":"2026-06-06T01:56:55Z","snapshot_observed_at":"2026-08-06T20:33:37.124972Z","submitted_at":"2026-06-06T01:56:55Z","title":"Hallucination Cascade: Analyzing Error Propagation in Multi-Agent LLM Systems","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-06-27T19:58:03.337398Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2606.07937"},"observation_digest":"sha256:80871409cb00747a90fa12328502613e290677d6be1d71a1476a82e09acafe6c","observation_id":"86582aa7-fb77-4dc0-92e0-9d92798effb3","resolution":{"observed_at":"2026-07-02T21:07:23.599515Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-05-23T01:53:44.249676+00:00","source":"crossref_status_cache"},{"observed_at":"2026-05-23T01:53:44.249676+00:00","source":"openalex_status_cache"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-08-04T23:25:09.705413Z","title":"arXiv preprint arXiv:2505.04651 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01666","last_updated":"2026-08-04T03:10:26Z","snapshot_observed_at":"2026-08-08T00:49:20.883513Z","submitted_at":"2026-08-03T04:01:02Z","title":"Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-04T23:25:09.705413Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2608.01666"},"observation_digest":"sha256:5d7c1a2ef65258301bc03f84af211ad856a43df45f02efe3d3334d4ad0ae7471","observation_id":"c793502c-3af7-4c80-8079-6feeceb1a5d4","resolution":{"observed_at":"2026-08-04T23:25:09.705413Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2505.04651","snapshot_observed_at":"2026-08-07T00:15:14.216409Z","title":"arXiv preprint arXiv:2505.04651 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.01666","last_updated":"2026-08-04T03:10:26Z","snapshot_observed_at":"2026-08-08T00:49:20.883513Z","submitted_at":"2026-08-03T04:01:02Z","title":"Style Wins, Substance Loses: A Diagnosis of LLM-as-Judge in Idea Generation","version":2},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-07T00:15:14.216409Z"},"links":{"cited_paper":"/paper/2505.04651","citing_paper":"/paper/2608.01666"},"observation_digest":"sha256:3d1c5dbcc4e67f91a20dac9e718f19e982e964fc25fbb4b078d046ac0ee4d948","observation_id":"c975c77e-cbf9-4027-ae55-849309eea453","resolution":{"observed_at":"2026-08-07T00:15:14.216409Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2505.04651/citation-record","integrity":"/paper/2505.04651/integrity","json":"/paper/2505.04651/citation-record.json","paper":"/paper/2505.04651"},"outbound":[],"paper":{"arxiv_id":"2505.04651","last_updated":"2025-05-06T19:22:23Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T15:49:25.077365Z","submitted_at":"2025-05-06T19:22:23Z","title":"Scientific Hypothesis Generation and Validation: Methods, Datasets, and Future Directions"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2505.04651."}