{"as_of":"2026-08-11T05:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:975e625e023997b2154697e9f573158d3333c9fc6e652cfbcddf0f15b5898a0b","coverage":[{"denominator":74,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":74,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T14:58:32.902741Z","state":"measured"},{"denominator":74,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":74,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2501.14860/citation-record","integrity":"/paper/2501.14860/integrity","json":"/paper/2501.14860/citation-record.json","paper":"/paper/2501.14860"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.970227Z","title":null,"venue":null,"work_id":"0b7936af-1dbc-49b6-ad95-dea4f600044d","year":1997},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.527161Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:305ee1de8f8aa05db03bddbf986c2418e4ff9694d7d14a8876e1311b1dc4193c","observation_id":"97ae0d49-9183-4f50-9016-17c2770aca86","resolution":{"observed_at":"2026-08-10T14:58:33.974596Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.532756Z","title":null,"venue":null,"work_id":null,"year":1975},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.532756Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:c5231b72016e93c7d1141d91cb7cbecc42a9b91d30846ac1ddd4d6a8c4df200a","observation_id":"4f99fdb2-7b82-4918-97a7-b622829f9c7b","resolution":{"observed_at":"2026-08-10T14:58:32.532756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.538107Z","title":null,"venue":null,"work_id":null,"year":1977},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.538107Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:4685e183089706387b249c837a16ae1d0dfd873ce15353ed094d5664bbd7670c","observation_id":"f65311b0-8839-466c-9597-d4252f0e1d85","resolution":{"observed_at":"2026-08-10T14:58:32.538107Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.934795Z","title":"O., Bernardo, J","venue":null,"work_id":"ff406d96-31e5-4133-93af-4f4ca79692a2","year":2009},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.543418Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:5ece30f8f207afccf4b19be8bd6f2f143734f4b533c1b34f8e9c71bf1071765b","observation_id":"fc4eedef-cb21-427f-9a2f-9c64f52118d0","resolution":{"observed_at":"2026-08-10T14:58:33.940342Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.919441Z","title":null,"venue":null,"work_id":"ace58d2c-7377-4984-9ed4-08d31521d4e6","year":1984},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.548573Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:634f429cdbd4b3f75880dda26afac9391dac82aa4be4ad74c0c04857d49381be","observation_id":"f85ccb2f-4fe6-4778-9308-e82f00eed00c","resolution":{"observed_at":"2026-08-10T14:58:33.923962Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.553745Z","title":null,"venue":null,"work_id":null,"year":1962},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.553745Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:8fb9f4ed49207385a67a43f36e7ee7b0af13b987a518d0202c0ede123948677f","observation_id":"33b190cd-81b6-47ec-834f-69587ec25163","resolution":{"observed_at":"2026-08-10T14:58:32.553745Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.891040Z","title":null,"venue":null,"work_id":"a5941073-5812-41c1-95dd-a4a632dd8753","year":1962},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.559321Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:2eb034441a6e981584c3467d15aa09e994ea16bf3b41f7deeac8615ed8c7ed7d","observation_id":"2b642c54-e020-404a-a8b5-1b4b278c13b0","resolution":{"observed_at":"2026-08-10T14:58:33.896812Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.563472Z","title":"and Martin, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.563472Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:7132a0585b4a1fd59c663a2210e311a8550f2085fb2d553f1b08c4f2eff8fc5f","observation_id":"016a908d-dbf1-473a-bd05-834a61a6e766","resolution":{"observed_at":"2026-08-10T14:58:32.563472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.567927Z","title":null,"venue":null,"work_id":null,"year":1995},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.567927Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:6e1bce5ed0dc7d49884e3310f153b56adfecd0ff44eee93d6f73e4867c210572","observation_id":"d1fe9a9f-8b84-4ac4-bc50-ee7bc6ea75b8","resolution":{"observed_at":"2026-08-10T14:58:32.567927Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.572170Z","title":null,"venue":null,"work_id":null,"year":1966},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.572170Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:a2761fc9afc72210c8c90878d9b7280075658c6780bb97b901cf4c415caa4d3f","observation_id":"40343864-ee65-473b-b8b6-6c3ce07ec8c7","resolution":{"observed_at":"2026-08-10T14:58:32.572170Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.845908Z","title":null,"venue":null,"work_id":"367f9d8f-ff42-4430-a6d8-3332dcdf757f","year":2002},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.577685Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:399a66cbdab094a5987a01a0ac00edbf54a294229c7482f276b0be2fc616a692","observation_id":"68e9b823-8d5b-4652-83d9-0a05f341a672","resolution":{"observed_at":"2026-08-10T14:58:33.850692Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.581609Z","title":null,"venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.581609Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:0ba14e1920a515d9284c36513b7cfdd576d4b65a88910fecb457abadb47c1a21","observation_id":"27947d87-a162-47b1-81dc-57b372256931","resolution":{"observed_at":"2026-08-10T14:58:32.581609Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.585508Z","title":null,"venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.585508Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:e2dc09de7d8384566c803a55cc7b67ccb3bda9000f8f9afd78ca067c7ad9e746","observation_id":"7d8dd710-d932-45af-bae9-8dc932ec0752","resolution":{"observed_at":"2026-08-10T14:58:32.585508Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.589648Z","title":"and Prade, H","venue":null,"work_id":null,"year":1988},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.589648Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:62ca6b33d5ed7ba6e6ca7a81a7d70f1990af5f731fe2cc09fe92cc150db7a9d5","observation_id":"7d518ee1-57f2-4e47-9cdb-bf3328d58b2c","resolution":{"observed_at":"2026-08-10T14:58:32.589648Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.800263Z","title":null,"venue":null,"work_id":"33c50a13-e72f-44e8-a0bf-dc42350867fd","year":1970},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.593559Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:99974476b9123282a472c5aa0cc423b9d07662741dadc074ea90cb376d9b268e","observation_id":"4cb3d0cf-0d1d-4a30-bd96-6ce579aba54e","resolution":{"observed_at":"2026-08-10T14:58:33.804786Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.785189Z","title":null,"venue":null,"work_id":"0e1acc7c-a265-4a1c-982a-16ad4cb680b8","year":1992},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.600822Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:246e6ffcfab82bf3a7daecf11d355a1904e60e29fd4de398b81d539718cf2cf3","observation_id":"020898d9-a3a2-44b5-93db-6bb12020994b","resolution":{"observed_at":"2026-08-10T14:58:33.789788Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2412.19938","last_updated":"2024-12-27T22:02:36Z","snapshot_observed_at":"2026-08-10T23:43:27.253897Z","submitted_at":"2024-12-27T22:02:36Z","title":"Towards Strong AI: Transformational Beliefs and Scientific Creativity","version":1},"cited_work":{"arxiv_id":"2412.19938","doi":null,"metadata_source":"pith","pith_arxiv_id":"2412.19938","snapshot_observed_at":"2026-08-10T14:58:33.176736Z","title":"Towards Strong AI: Transformational Beliefs and Scientific Creativity","venue":"stat.OT","work_id":"1db79adc-c130-496d-8ad9-e8eb60e8d9f7","year":2024},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.606060Z"},"links":{"cited_paper":"/paper/2412.19938","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:63977d01bf32cd807a86e433779545be333414fd764fb84bd4d30068e1d75eb4","observation_id":"4ffbc347-4d89-4239-8e12-479ec727f5d7","resolution":{"observed_at":"2026-08-10T14:58:33.181712Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.770355Z","title":null,"venue":null,"work_id":"0ba1f782-fc69-4ad4-ac23-01063f828550","year":2013},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.611993Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:09cc1fb236282a8223679346021f814d859dbd01b6e28fb2f0a3111e004e2769","observation_id":"4708bcfb-297f-4ea3-b7a5-68fb36ed2ccb","resolution":{"observed_at":"2026-08-10T14:58:33.775220Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.754563Z","title":null,"venue":null,"work_id":"156c6202-1cde-4c79-9164-ad9956f8d357","year":1922},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.617173Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:4901230b369f5f4f64845cf130c495fcdadc0bd762d8415491ddd429f25031fe","observation_id":"d0b85a8c-2a7b-417c-a1d9-58c1ad3c9e42","resolution":{"observed_at":"2026-08-10T14:58:33.759557Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.737535Z","title":null,"venue":null,"work_id":"382aad07-de59-47fb-960c-7cff65095b92","year":1925},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.622078Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:a5dc00dcc178f80f232b6e53595476e76930aeec677169c7f1d86f3ba8076e43","observation_id":"c95d845e-ee79-49a5-a928-b5ce510d7160","resolution":{"observed_at":"2026-08-10T14:58:33.742679Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.626979Z","title":null,"venue":null,"work_id":null,"year":1933},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.626979Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:625c238c63023bb27f9ff4947d3dde97d041de63dc58ab38ee1b12081006c8b5","observation_id":"083d331e-b095-48a9-a48c-71313398aced","resolution":{"observed_at":"2026-08-10T14:58:32.626979Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.631715Z","title":null,"venue":null,"work_id":null,"year":1935},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.631715Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:703b35c62233b1736c3ee6fbafd3de1dea10455f15067f3a4a805b4f1aae3c2d","observation_id":"34b4b0cc-fd31-4b90-a671-a7920d4a4910","resolution":{"observed_at":"2026-08-10T14:58:32.631715Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.636777Z","title":null,"venue":null,"work_id":null,"year":1935},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.636777Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:ca7c36cbbc4356134f01b06d106814afb537cad0f9803f53bbadd024da0acc04","observation_id":"b08623ad-29a5-43c2-bd53-9521a73e7375","resolution":{"observed_at":"2026-08-10T14:58:32.636777Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.642252Z","title":null,"venue":null,"work_id":null,"year":1968},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.642252Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:80fd1db6383b4f3a539f029215d5decd3bb231ab84af18b4b338aa4e98b7d0b7","observation_id":"4da4de1b-d6dd-4944-839a-319813d826f8","resolution":{"observed_at":"2026-08-10T14:58:32.642252Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.682810Z","title":null,"venue":null,"work_id":"d98d0c25-a785-4d5b-96bf-7f80826ad45e","year":2018},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.647473Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:388f1303244a5441c8a1f1587ea245bfc01590da214fcd12aba2b998151de10a","observation_id":"0b6b61cc-87ee-4b53-95a4-8b981d559ca2","resolution":{"observed_at":"2026-08-10T14:58:33.687489Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.652613Z","title":null,"venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.652613Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:c2a1b7e6af962a9721e57381c2847d9d0ea65efa1208c71ff4ff68acebb32a5f","observation_id":"32dd8c40-ff47-418d-929b-bb4de9dfaaad","resolution":{"observed_at":"2026-08-10T14:58:32.652613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.657611Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.657611Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:a3292319d3c1b1f4075f704bdf7968425d7d37d287b3261179d4eeec43916d82","observation_id":"11b54c55-b6b4-40db-8737-7b803ae3347c","resolution":{"observed_at":"2026-08-10T14:58:32.657611Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1503.02531","last_updated":"2015-03-09T15:44:49Z","snapshot_observed_at":"2026-07-06T04:11:24.157003Z","submitted_at":"2015-03-09T15:44:49Z","title":"Distilling the Knowledge in a Neural Network","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1503.02531","snapshot_observed_at":"2026-08-10T14:58:32.662639Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.662639Z"},"links":{"cited_paper":"/paper/1503.02531","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:f17db0e0e6d6c75735e7eaeb6978e9fe3d1b45a1f24883cd518b787cba285cfe","observation_id":"4c59f0b1-255e-4300-8f12-7ad91a774c6c","resolution":{"observed_at":"2026-08-10T14:58:32.662639Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.667876Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.667876Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:e972d05af89933cc86f10d1653557eee5104dc41304ad2a4cd9f51c38ca39349","observation_id":"bfe2e35e-4bc4-4415-9333-5d437900b1cd","resolution":{"observed_at":"2026-08-10T14:58:32.667876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.639285Z","title":null,"venue":null,"work_id":"f27774cf-67a8-4b21-a07f-f72fd3f7d7d8","year":2003},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.673197Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:69ff41121b7c67f1fe2a68a523f0486ee6cf29d657f55ced4ba0298a2395bc87","observation_id":"fead6d8d-cebb-4c63-ad78-9f89d7902c77","resolution":{"observed_at":"2026-08-10T14:58:33.644465Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.678578Z","title":null,"venue":null,"work_id":null,"year":1946},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.678578Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:045a7788af12b921c895ba66524d5217c153a678458e6cf6e513b3ee4173dace","observation_id":"4fd93cd3-d36f-4c6f-9cf0-8204e1b96e3a","resolution":{"observed_at":"2026-08-10T14:58:32.678578Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.683865Z","title":null,"venue":null,"work_id":null,"year":1998},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.683865Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:9abd4bbf3277a1840d21941698d7f5331f541a1235e1f89146b12217a199aaba","observation_id":"5f5f6711-1c58-4710-9c4e-3cf6b42cdfe4","resolution":{"observed_at":"2026-08-10T14:58:32.683865Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.688464Z","title":"and Liu, C","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.688464Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:d8739bd240304194d8aa424d119486d1f024a42161eb9ee07a6684faecf15bf4","observation_id":"d64463ff-4b11-4170-9b2e-a0063b797715","resolution":{"observed_at":"2026-08-10T14:58:32.688464Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.16763","last_updated":"2024-08-29T17:57:22Z","snapshot_observed_at":"2026-08-03T14:15:32.661551Z","submitted_at":"2024-08-29T17:57:22Z","title":"Finite Sample Valid Inference via Calibrated Bootstrap","version":1},"cited_work":{"arxiv_id":"2408.16763","doi":null,"metadata_source":"pith","pith_arxiv_id":"2408.16763","snapshot_observed_at":"2026-08-10T14:58:33.043375Z","title":"Finite Sample Valid Inference via Calibrated Bootstrap","venue":"stat.ME","work_id":"5477988b-c3fc-45ff-8d2c-2071e5baf595","year":2024},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.692905Z"},"links":{"cited_paper":"/paper/2408.16763","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:6194b6e7c3c49d5e0daf9ccf5e4459198c749a49c21dac14b7683bc94b07370e","observation_id":"8778f7c0-d9f4-4002-bb5d-6c12a3779b20","resolution":{"observed_at":"2026-08-10T14:58:33.050381Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.602538Z","title":null,"venue":null,"work_id":"ae116e2c-ffa0-4496-a003-80ee107aa5f2","year":1986},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.697988Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:ef5642c23f4fb3978526513c9eebc34c87e0fe1a23e2b913db47d3ed537cdf23","observation_id":"9171f6c2-1dc6-45a8-a505-3e086ea21c6a","resolution":{"observed_at":"2026-08-10T14:58:33.607808Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.587608Z","title":null,"venue":null,"work_id":"934e957e-7ed3-4338-b4d0-2e50c95d5173","year":1990},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.703175Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:c9ac8cefaf833f24937c7d69972eb8dc89069c0b0be6291c85e5ee06b04a853d","observation_id":"bf78f0c3-a52b-4619-8fb5-0ce20284ee34","resolution":{"observed_at":"2026-08-10T14:58:33.592240Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.573503Z","title":null,"venue":null,"work_id":"09f491e5-6ec1-4bae-870c-eb01416c5ae0","year":1983},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.707837Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:3a4625ada3ba3dfdf9901bb8da2da6a5090543d4e42b377eca6440236d90a107","observation_id":"ab290003-fd10-41bd-b06c-1cf055efac09","resolution":{"observed_at":"2026-08-10T14:58:33.577776Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.560000Z","title":null,"venue":null,"work_id":"be2906e2-2d79-4f86-9b9b-2a44eb763e86","year":2023},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.712340Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:969c15de3f2d69a9bebb467108a099b410eb6c1f0910971a9b53de7fda7670ae","observation_id":"9859967e-7a10-41c0-ba12-71594fee03d4","resolution":{"observed_at":"2026-08-10T14:58:33.564200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.717354Z","title":null,"venue":null,"work_id":null,"year":2015},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.717354Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:65ea41be300ff7e37313118d9eca3352bd4f23709e749cd9045e42d3eb3a2bfa","observation_id":"2cc284c9-fac5-4ec1-a32e-8e96b541fd82","resolution":{"observed_at":"2026-08-10T14:58:32.717354Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.722610Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.722610Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:43d42c784421b118f62ebd6b51a80d310f127ac214f4edee0598ec2b170856c9","observation_id":"48edc1eb-49ee-4728-97d4-bceb757acded","resolution":{"observed_at":"2026-08-10T14:58:32.722610Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.10904","last_updated":"2021-12-20T23:14:21Z","snapshot_observed_at":"2026-08-08T08:35:21.282902Z","submitted_at":"2021-12-20T23:14:21Z","title":"An imprecise-probabilistic characterization of frequentist statistical inference","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.10904","snapshot_observed_at":"2026-08-10T14:58:32.731666Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.731666Z"},"links":{"cited_paper":"/paper/2112.10904","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:dd16627725995728a149efe73b25f0b7b0f83f0384f88f7f7b81aa718400d5a4","observation_id":"a00be0ae-3168-4ddb-ad4a-9ba11ba2b831","resolution":{"observed_at":"2026-08-10T14:58:32.731666Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2112.13247","last_updated":"2026-04-30T14:28:05Z","snapshot_observed_at":"2026-07-06T12:22:24.025336Z","submitted_at":"2021-12-25T15:02:22Z","title":"Decision-making with possibilistic inferential models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2112.13247","snapshot_observed_at":"2026-08-10T14:58:32.736874Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.736874Z"},"links":{"cited_paper":"/paper/2112.13247","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:c414e0ad8c1774686b4c04e55e68aae6b9c609bb73f72d92c2d490e76e3f30f2","observation_id":"3dd5be58-de20-4397-bfbb-f0624d5588e1","resolution":{"observed_at":"2026-08-10T14:58:32.736874Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2203.06703","last_updated":"2022-11-26T13:27:37Z","snapshot_observed_at":"2026-07-06T12:47:17.252212Z","submitted_at":"2022-03-13T16:36:45Z","title":"Valid and efficient imprecise-probabilistic inference with partial priors, I. First results","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2203.06703","snapshot_observed_at":"2026-08-10T14:58:32.743650Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.743650Z"},"links":{"cited_paper":"/paper/2203.06703","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:9c089f42e45a93144a3acad5424ea3451c8df0264015562f10c3cf8168d2b12f","observation_id":"b4a0d9a8-e0cf-46aa-a36f-b69f661b4504","resolution":{"observed_at":"2026-08-10T14:58:32.743650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.14567","last_updated":"2023-09-23T18:22:10Z","snapshot_observed_at":"2026-08-10T08:43:12.721822Z","submitted_at":"2022-11-26T13:39:38Z","title":"Valid and efficient imprecise-probabilistic inference with partial priors, II. General framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.14567","snapshot_observed_at":"2026-08-10T14:58:32.748635Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.748635Z"},"links":{"cited_paper":"/paper/2211.14567","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:1de0b416ff8834e78df8427e960d7cc9b408fb539f61616e5b6470b7b086e7f9","observation_id":"64ad5bab-ebcb-4d14-8927-d3755130a808","resolution":{"observed_at":"2026-08-10T14:58:32.748635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.754557Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.754557Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:786f1b5b0f6290b8c86deb48da57abda5a47110d4308f8c21cf836096d1d9803","observation_id":"1c249e73-f9f4-47f3-9a36-4c42555fa2ea","resolution":{"observed_at":"2026-08-10T14:58:32.754557Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13454","last_updated":"2023-09-23T18:40:53Z","snapshot_observed_at":"2026-07-06T16:22:50.827103Z","submitted_at":"2023-09-23T18:40:53Z","title":"Valid and efficient imprecise-probabilistic inference with partial priors, III. Marginalization","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13454","snapshot_observed_at":"2026-08-10T14:58:32.760328Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.760328Z"},"links":{"cited_paper":"/paper/2309.13454","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:0d4bd6af59a15c42fe543fecd33a4c569062303124e7620fa37ffa5c9918741a","observation_id":"1c1fc69e-4c87-4745-ae78-33f5a32ea0cd","resolution":{"observed_at":"2026-08-10T14:58:32.760328Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.515605Z","title":null,"venue":null,"work_id":"11099f0b-edbc-46ce-ae04-0185d2ef4da8","year":2024},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.767127Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:0cedb845973e472b7057ddc5a09f97cb322b1776f5dc6eb5d56ec445ad542b39","observation_id":"c3c6bef9-d194-4abe-8929-ae6f12cd2367","resolution":{"observed_at":"2026-08-10T14:58:33.520199Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.10585","last_updated":"2025-07-07T19:18:13Z","snapshot_observed_at":"2026-08-10T19:00:11.532101Z","submitted_at":"2025-01-17T22:31:59Z","title":"An efficient Monte Carlo method for valid prior-free possibilistic statistical inference","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.10585","snapshot_observed_at":"2026-08-10T14:58:32.773672Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.773672Z"},"links":{"cited_paper":"/paper/2501.10585","citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:46832bd8a56ed3d6401589bdc3357b3e16f8baa93ff818b45259091002831d11","observation_id":"d4400beb-53de-4c8c-86b9-a048e695933c","resolution":{"observed_at":"2026-08-10T14:58:32.773672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.785912Z","title":"and Liu, C","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.785912Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:fac73356f2d4bbfc011d215be7d29d467e447aea9038f802ef4498aaffbfffd4","observation_id":"b78e0c7a-371e-4f55-8ee3-7b2c07d36d3b","resolution":{"observed_at":"2026-08-10T14:58:32.785912Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.491432Z","title":"and Liu, C","venue":null,"work_id":"6dbf8aba-40b9-4fa9-8d26-aa7a1e381057","year":2014},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.791396Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:275685141e2cd7d49261c929278c1841e21610ec12165258bb6615b18b8f8c0c","observation_id":"39f04938-3398-4c65-b68e-eb04c16ffe34","resolution":{"observed_at":"2026-08-10T14:58:33.495688Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.476417Z","title":"and Liu, C","venue":null,"work_id":"f54ab7e4-85e4-4d9b-a1d5-99b3cff082dc","year":2015},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":51,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.796576Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:be9082e2f54a471802e2ebf3dcb2642304e85aecaea233fa04354f15dde2a9a1","observation_id":"3f8182ba-316d-4195-9508-0ec665f6feb3","resolution":{"observed_at":"2026-08-10T14:58:33.481867Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.461220Z","title":"and Liu, C","venue":null,"work_id":"2bac4953-3bb1-40af-b3bb-bc14f6d680dc","year":2015},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.800839Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:7322a489249092f82d5a8dc1356af1894a30c9cd07bb42b46b8958e16c219acc","observation_id":"21c67055-c93a-48ab-b83a-13dbee1c591c","resolution":{"observed_at":"2026-08-10T14:58:33.465601Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.447116Z","title":null,"venue":null,"work_id":"4c65f096-6113-44ff-acd3-da4b47a3035f","year":2017},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.805308Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:cd54cacf62ce1905f63eb472afb12282e301ba8ee6279f934bcfd936de97cc6a","observation_id":"4de7a22e-c4b4-4ab3-910e-c0b3a06f538a","resolution":{"observed_at":"2026-08-10T14:58:33.451674Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.432058Z","title":"and Walker, S","venue":null,"work_id":"7e642b98-85f1-4a4c-a35a-ebbcc8288d17","year":2019},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":54,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.810073Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:3c1e3ca9228ca2e60604de2d28a1f5c5ffa0981b753de574d90d12bd75302224","observation_id":"e5f80159-c5a3-46ee-89a4-24d66ab3486f","resolution":{"observed_at":"2026-08-10T14:58:33.436849Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.418221Z","title":null,"venue":null,"work_id":"a157bc45-2b8c-4869-8500-7adb1276a0d5","year":2014},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":55,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.814574Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:ff76eddfe67adea7af0864a3dc8d8289f08b7600998b585239efd5309bdbfc7a","observation_id":"1220660a-d6a9-433b-be60-68bebe9e585e","resolution":{"observed_at":"2026-08-10T14:58:33.422409Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.404472Z","title":null,"venue":null,"work_id":"ea1001d1-db6f-4732-98bb-49ef752849b9","year":2005},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":56,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.819313Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:465b0c8aeea1a188582e4c8739cb9ffdbb1fa35e8adce134c5cd0e48ddf5f3cf","observation_id":"4916a2ec-575f-4efb-8a6e-43bfcf076a6c","resolution":{"observed_at":"2026-08-10T14:58:33.408643Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.824036Z","title":"and Scott, E","venue":null,"work_id":null,"year":1948},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":57,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.824036Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:95128229c38d65c5e16830b694cc5076176369b665ac56c08132b273a8b764e9","observation_id":"c7b82dd1-e559-4a0a-a036-bc5f1a5daeb4","resolution":{"observed_at":"2026-08-10T14:58:32.824036Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.374883Z","title":null,"venue":null,"work_id":"c0677928-e9f2-43c0-af84-2ae7a823bbbc","year":2018},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":58,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.828220Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:de48f5fb22b57ce9a4f72bd499bc94f6e6f5dd1a04bd07a467d1284222843c41","observation_id":"cd7bf871-7b80-486d-968b-aa2ac739a9a6","resolution":{"observed_at":"2026-08-10T14:58:33.380568Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.358343Z","title":null,"venue":null,"work_id":"6f1d118a-53e3-4601-89fd-b47b18245093","year":1959},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":59,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.832531Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:3cef7b21296481b54942912db0ebfaad7726da475bc76fe8c751a5a8e84943ea","observation_id":"f2b853d0-b0e7-46f3-92a2-78108dab8120","resolution":{"observed_at":"2026-08-10T14:58:33.363497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.836702Z","title":null,"venue":null,"work_id":null,"year":1976},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":60,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.836702Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:a6eba2ec80262dbaf61bc8297d77e349a1e39cc145c592d5527095118c2ced57","observation_id":"1249d2ee-d3ba-4881-b32e-656b6ada1bb3","resolution":{"observed_at":"2026-08-10T14:58:32.836702Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.840722Z","title":null,"venue":null,"work_id":null,"year":1982},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":61,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.840722Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:26bc6068f0daeaf390d8b15cdf44dc63c1f02733d8e82ea954c7ecd720ddc743","observation_id":"a65c9397-4fe9-4732-a9fe-53d3dd8d73d5","resolution":{"observed_at":"2026-08-10T14:58:32.840722Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.845531Z","title":null,"venue":null,"work_id":null,"year":1956},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":62,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.845531Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:91016e6087ce60488abcf6472cb99095bf3dcff7b1439361c7c2807a6e65f31d","observation_id":"57f56918-7149-4c0f-a88b-1482c3bc14b5","resolution":{"observed_at":"2026-08-10T14:58:32.845531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.850380Z","title":null,"venue":null,"work_id":null,"year":1959},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":63,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.850380Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:e1be00c2ee25b43947dcfc603c69c3da57c799d9cd33504b345da20ffd82949f","observation_id":"a92c3c6d-00f1-4f6d-abae-b628d964a27a","resolution":{"observed_at":"2026-08-10T14:58:32.850380Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.304223Z","title":null,"venue":null,"work_id":"2e412b49-5107-4256-9303-03250174be53","year":2007},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":64,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.855040Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:b6e576a049ba4959eacbd4e12d793a582a462b9ed9f2fbf45c9177fb61c6d596","observation_id":"b51c3a44-96da-40eb-8afb-a5939601b174","resolution":{"observed_at":"2026-08-10T14:58:33.308773Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.289213Z","title":null,"venue":null,"work_id":"edae5fcc-9b4f-4ed9-8fee-f045f87370f3","year":1989},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.859771Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:9fc7620d355b93e6507e9382cea4f654221faa8980739edb681e832034bc1fea","observation_id":"a2b769f7-d83b-4b83-8847-41975f85dae4","resolution":{"observed_at":"2026-08-10T14:58:33.293784Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.864935Z","title":null,"venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.864935Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:dd799643dd20c19d8303198da84e6f61ae27e6f818ce73f12efb7cb719103eff","observation_id":"69fef803-63d1-4e9d-9e66-37280db9207d","resolution":{"observed_at":"2026-08-10T14:58:32.864935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.266177Z","title":null,"venue":null,"work_id":"fb92311d-15a3-4373-a17d-d91576314582","year":1962},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":67,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.870028Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:740263035ec4149b53ca26567c7e622bb2d401ba6c25120d967f49d50995192d","observation_id":"e4ffd92b-9524-4493-a196-d9ae465e133a","resolution":{"observed_at":"2026-08-10T14:58:33.270455Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.252007Z","title":null,"venue":null,"work_id":"b0ae9435-aa2a-4079-8084-62671a7a5648","year":1977},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":68,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.874606Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:dd8382f78ea3fda95112cdfc4df6fff4004b44626a118c4581046755a1d2203c","observation_id":"e6ed6592-d9ef-4951-a171-948a8f1ebe9c","resolution":{"observed_at":"2026-08-10T14:58:33.256478Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:33.237911Z","title":null,"venue":null,"work_id":"ff404bff-462c-44e3-a957-cd33054c6ee1","year":1986},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":69,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.879494Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:dd9e5d7343e2fecb0f56c9fe314bbad20c6b5c9a867054e57a45f0a8ee619fb2","observation_id":"aa3dfe85-c267-4231-98dc-68ac85f1a658","resolution":{"observed_at":"2026-08-10T14:58:33.241956Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.884806Z","title":null,"venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":70,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.884806Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:793af520e6c819cb00399109d2d0b7ae288dbcd75f216ea9827a919699ff7ad6","observation_id":"16c356da-0e16-47ed-a1d3-5e87bdc3e224","resolution":{"observed_at":"2026-08-10T14:58:32.884806Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.889301Z","title":"N., Kaiser, L","venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":71,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.889301Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:dd9bca90ada0733372475bfb0404b235f1311a5ee0b7d955984890dd4ea046de","observation_id":"af2bdb0e-b8ea-43ce-b3d2-61dc78ad8d3f","resolution":{"observed_at":"2026-08-10T14:58:32.889301Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.893784Z","title":null,"venue":null,"work_id":null,"year":1991},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.893784Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:b8082da777a56596f78e4fcefd8713138d50a3a6ab9f0a27dab79c0c66995eec","observation_id":"45cf2317-91a2-4d32-9d30-bee298a5270d","resolution":{"observed_at":"2026-08-10T14:58:32.893784Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.898296Z","title":"and Singh, K","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.898296Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:7c9883ca2640956f78f548252a33cbb81fc1d2369981955eb3fc70e829f042cc","observation_id":"7a753b7e-0785-49df-84f6-1fe711b30d38","resolution":{"observed_at":"2026-08-10T14:58:32.898296Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T14:58:32.902741Z","title":null,"venue":null,"work_id":null,"year":1992},"citing_paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science","version":1},"reference_index":74,"source":"arxiv_source","source_observed_at":"2026-08-10T14:58:32.902741Z"},"links":{"citing_paper":"/paper/2501.14860"},"observation_digest":"sha256:c85907f0194a95bab3319c01b813f0ef011bfec321d5b13d5040753f6eaa2b5b","observation_id":"65cd4d26-6352-4a30-a6de-1ce830ceb6ce","resolution":{"observed_at":"2026-08-10T14:58:32.902741Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.14860","last_updated":"2025-01-24T18:58:32Z","latest_version":1,"primary_category":"math.ST","snapshot_observed_at":"2026-08-10T22:50:52.028220Z","submitted_at":"2025-01-24T18:58:32Z","title":"The typicality principle and its implications for statistics and data science"},"reference_resolution":{"displayed":74,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":67,"verified_exact":2,"verified_fuzzy":5},"total_outbound_references":74},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 11 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:2501.14860."}