{"as_of":"2026-08-12T06:33:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b3850c78cdeaf10382d97f1de38df2954cb123dee1abb82eeb2215262dca6cad","coverage":[{"denominator":50,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":50,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:59:44.124291Z","state":"measured"},{"denominator":52,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":52,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-11T06:34:44.6726+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-06-29T20:45:52.977412Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-06-29T21:03:58.860334Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"cited_work":{"arxiv_id":"2505.23196","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.23196","snapshot_observed_at":"2026-06-29T21:03:58.860334Z","title":"English and C","venue":null,"work_id":"90dc9e09-55b8-42c2-84a7-b2ae8b9b6f1e","year":2025},"citing_paper":{"arxiv_id":"2507.20941","last_updated":"2026-05-07T15:03:06Z","snapshot_observed_at":"2026-07-06T22:03:56.926105Z","submitted_at":"2025-07-28T15:55:29Z","title":"Multivariate Standardized Residuals for Conformal Prediction","version":4},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-05-19T03:28:38.696849Z"},"links":{"cited_paper":"/paper/2505.23196","citing_paper":"/paper/2507.20941"},"observation_digest":"sha256:6798ca4862a57a8b0bd80fbae2f9b226766bd6c1963759eed48993af587a6236","observation_id":"14eab6db-71e1-4c46-ae46-f25cb44b2b85","resolution":{"observed_at":"2026-05-19T03:32:01.701301Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"cited_work":{"arxiv_id":"2505.23196","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2505.23196","snapshot_observed_at":"2026-06-29T21:03:58.860334Z","title":"English and C","venue":null,"work_id":"90dc9e09-55b8-42c2-84a7-b2ae8b9b6f1e","year":2025},"citing_paper":{"arxiv_id":"2605.25852","last_updated":"2026-06-22T08:49:32Z","snapshot_observed_at":"2026-08-03T00:49:52.936658Z","submitted_at":"2026-05-25T13:44:25Z","title":"A Post-Processing Conformal Prediction Approach for Conditional Coverage via Pivotal Scores","version":3},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-29T20:45:52.977412Z"},"links":{"cited_paper":"/paper/2505.23196","citing_paper":"/paper/2605.25852"},"observation_digest":"sha256:48cde1bb45534af2403a1f764200ee8140273dc96beb6edfba559142ec0c4932","observation_id":"f3605fbb-e3a7-4434-b3a8-88a3d00c2845","resolution":{"observed_at":"2026-06-29T21:03:58.862002Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2505.23196/citation-record","integrity":"/paper/2505.23196/integrity","json":"/paper/2505.23196/citation-record.json","paper":"/paper/2505.23196"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:52.933730Z","title":"Alaa and Mihaela van der Schaar","venue":null,"work_id":"33540c3d-da4b-4c46-9ea6-5106795a166f","year":2020},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.317130Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:3d77a3d341dffae9dede9e1b1d8f3e8ced11adb63a974170d4b19b89290ec004","observation_id":"0f608699-7b0c-4943-9107-bd980729966d","resolution":{"observed_at":"2026-08-07T12:59:52.989881Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:52.711321Z","title":"Building Normalizing Flows with Stochastic Interpolants","venue":null,"work_id":"8f35d552-2d65-43bf-8861-7aab4bb8ae20","year":2022},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.429071Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:226538bae00ceb4da3028adf36bc70f3a1ed0f70c75179cc98f7bb03e4bf73a0","observation_id":"cf2d39e4-94be-4278-be50-cf86a7939b43","resolution":{"observed_at":"2026-08-07T12:59:52.832864Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:40.530426Z","title":"Angelopoulos and Stephen Bates","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.530426Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:419927def947fca4eac57de3458e13bbeb0796301d124b4f7b6be54b08b667cb","observation_id":"03942050-c889-4fe8-b937-88c421190e94","resolution":{"observed_at":"2026-08-07T12:59:40.530426Z","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":"2026-08-07T12:59:52.495603Z","title":"Candes, Aaditya Ramdas, and Ryan J","venue":null,"work_id":"66ae7fe9-c91d-4d7b-84dc-9107054237fc","year":2020},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.568331Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:df0eff18d27c246ae297071e7f2f63287081ed7b10120fcf05661039904ae156","observation_id":"9953ee32-c068-4bfb-94a2-534e0cc616bd","resolution":{"observed_at":"2026-08-07T12:59:52.618077Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:52.342316Z","title":"Candes, Aaditya Ramdas, and Ryan J","venue":null,"work_id":"edccba5d-3c3a-4361-8c53-71d69e7a885a","year":2023},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.671606Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:223425e05fc4436ba67725b31b6e7ab67bda90bc49441486d076a34b35d122ae","observation_id":"c643e030-4016-490f-839e-0a16a466ca4b","resolution":{"observed_at":"2026-08-07T12:59:52.398978Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:52.204911Z","title":"Duvenaud","venue":null,"work_id":"e47d18ed-ca30-4f26-be0b-af12e8f0bfa3","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.768424Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:de3a7d4693caf8e18678b23f9d35f0eec11871a0d647df31ccedd10c3f53d095","observation_id":"addefb7d-96c5-4dc1-af88-9b5bfa606ebb","resolution":{"observed_at":"2026-08-07T12:59:52.255448Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:51.992061Z","title":"Exact and robust conformal inference methods for predictive machine learning with dependent data","venue":null,"work_id":"05cfb256-fb55-408c-b7ec-1d065c920757","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:40.901048Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:e711a25c4d21fb57afa9e87ba14d9892bbcec98bcab440e18c1ecafd3698dd57","observation_id":"38d699f7-acaa-4ed4-87c1-85a1d0259d41","resolution":{"observed_at":"2026-08-07T12:59:52.076934Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:51.810443Z","title":"Pappas, and Lars Lindemann","venue":null,"work_id":"a08ab36d-28f5-4a64-add2-8da39f5cf52b","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.026181Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:5d69130b06008905dae7fa6f2ba772bf1f4031ac56f7ad6cc7976df172215147","observation_id":"fa856c65-b22b-47aa-b6e3-abbaf0a69695","resolution":{"observed_at":"2026-08-07T12:59:51.909979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.03346","last_updated":"2024-06-26T15:55:02Z","snapshot_observed_at":"2026-08-08T21:14:41.767913Z","submitted_at":"2024-06-05T15:04:28Z","title":"Normalizing Flows for Conformal Regression","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.03346","snapshot_observed_at":"2026-08-07T12:59:41.107038Z","title":"Normalizing flows for conformal regression, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.107038Z"},"links":{"cited_paper":"/paper/2406.03346","citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:b7ea09113e5dca6545f43eedc5fe4a8e5bde3349fa223d96a00a25d43bc96f73","observation_id":"ee465c07-a8f6-42c1-a19c-daec48130421","resolution":{"observed_at":"2026-08-07T12:59:41.107038Z","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":"2026-08-07T12:59:51.538204Z","title":"Density estimation using real nvp, 2017","venue":null,"work_id":"8d1c4861-a6fa-4e87-bebe-9d3f5a86049b","year":2017},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.171192Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:f7b6be48b9c72f55f724ef34e65699d28236d2fa42ef405df29815822da02b51","observation_id":"1b8d129d-a398-472c-97c0-69f87609406d","resolution":{"observed_at":"2026-08-07T12:59:51.685691Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:41.281377Z","title":"Multiple Comparisons among Means","venue":null,"work_id":null,"year":1961},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.281377Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:fc0239e40cb4598a1f6dab77b300258b24bec871679cee7c82d260b19cf5fb00","observation_id":"1d38d7a8-302f-4b77-bfd0-672961988496","resolution":{"observed_at":"2026-08-07T12:59:41.281377Z","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":"2026-08-07T12:59:51.374967Z","title":"Neural spline flows, 2019","venue":null,"work_id":"7abe7cb2-053e-40d7-8265-c271737032a0","year":2019},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.387360Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:fbf6d2f9382b33b46b0957aef763b174ab491f52acb9d104b86ce355c33f5bbd","observation_id":"120eabc2-2db4-429a-8f63-35cb7c975e3c","resolution":{"observed_at":"2026-08-07T12:59:51.434148Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:51.209398Z","title":"Kernelised normalising flows, 2023","venue":null,"work_id":"acd89770-0b91-434b-a801-eef6c0975907","year":2023},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.465765Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:8455fa7fd465d89a4fd777bed54bd97b59d804a2ea263240d32d8e8dd37036bc","observation_id":"ceb74cc3-e430-460b-a75a-869715a3667e","resolution":{"observed_at":"2026-08-07T12:59:51.276749Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.06390","last_updated":"2025-05-29T08:12:48Z","snapshot_observed_at":"2026-08-10T20:20:22.960229Z","submitted_at":"2024-07-08T21:03:15Z","title":"JANET: Joint Adaptive predictioN-region Estimation for Time-series","version":2},"cited_work":{"arxiv_id":"2407.06390","doi":null,"metadata_source":"pith","pith_arxiv_id":"2407.06390","snapshot_observed_at":"2026-08-07T12:59:44.599692Z","title":"JANET: Joint Adaptive predictioN-region Estimation for Time-series","venue":"stat.ML","work_id":"14ee22ab-a66e-482e-a6af-bf3d22a27b6d","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.561174Z"},"links":{"cited_paper":"/paper/2407.06390","citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:ca0d5b857a85a827c10b80e7f9180de6e7234f9d029d1079c6eedfc9f6b770bc","observation_id":"584bec32-003b-4ecc-8ab3-e9304172c05f","resolution":{"observed_at":"2026-08-07T12:59:44.669817Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.959948Z","title":"CONTRA : Conformal Prediction Region via Normalizing Flow Transformation","venue":null,"work_id":"25f11a1b-c046-4a58-a5da-266bdae13b2a","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.651005Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:73b86323b031661a9dce1edc9872dcb1906a3613a9f4bd6aa940c8d94df6141d","observation_id":"2e4804ec-ac87-4dca-a472-b0cdfda83ec1","resolution":{"observed_at":"2026-08-07T12:59:51.093116Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.803819Z","title":"Calibrated Multiple - Output Quantile Regression with Representation Learning","venue":null,"work_id":"ab3aee69-853d-4692-bab7-fbaf0f11c417","year":2023},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.765005Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:7131109265b268a5c31bfcd39b177811b0112224549f7e66a251a1b7738d38f7","observation_id":"1d2e83a1-105c-4721-a41d-5f047feef735","resolution":{"observed_at":"2026-08-07T12:59:50.864349Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.621214Z","title":"Multi-scale attention flow for probabilistic time series forecasting, 2023","venue":null,"work_id":"a9601742-41b2-487e-a0d5-66977ca27af7","year":2023},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.861682Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:58baf547a6da7a5686ef63108def1d8007d2756b8e418af341b5b0d76d42fe79","observation_id":"125f7340-b5f7-4fd5-97c0-f4e8d9f80b5c","resolution":{"observed_at":"2026-08-07T12:59:50.720202Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.420963Z","title":"Gammerman, V","venue":null,"work_id":"60799548-d146-4192-9b21-503e0b8221dd","year":1998},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:41.989203Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:57253966a2d5d1de385ba1dfa947c7269071371327e3943a64648b9b38bf3340","observation_id":"2300a00d-52e2-4d1d-a639-937d1bcc1d2f","resolution":{"observed_at":"2026-08-07T12:59:50.520498Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.333446Z","title":"Adaptive conformal inference under distribution shift, 2021","venue":null,"work_id":"068fc708-45e9-4f8e-8615-3775ae57d9d1","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.078530Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:9c1c6c3b718528f14a01e5526aceea0718cd7c879d7ed2a99f6b1b395e99d075","observation_id":"ae17acff-0f78-48ef-8d9d-295f293b957e","resolution":{"observed_at":"2026-08-07T12:59:50.377078Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:50.127629Z","title":null,"venue":null,"work_id":"a75f5d00-1f2e-48f8-a7de-47eb7e26bf87","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.187509Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:f6f74f557caf4a53c52ae05276afc2b9b457e9ada0346af89454ca07b634c432","observation_id":"954fd663-9ed0-411c-b23d-77dffbfe5e42","resolution":{"observed_at":"2026-08-07T12:59:50.237291Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:49.960770Z","title":"Flexible distribution-free conditional predictive bands using density estimators","venue":null,"work_id":"13226600-37ed-4ca0-9d9b-0b6f279692ac","year":2020},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.293530Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:479441ccb65a4cf2a45b4bde470681a0d95497896bd173859d6358928466b4ca","observation_id":"e28a32b0-b8da-48fb-9350-0d86fe463698","resolution":{"observed_at":"2026-08-07T12:59:50.045689Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:49.762379Z","title":null,"venue":null,"work_id":"6f6d1154-517f-47e1-8307-b8e176545cae","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.412341Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:1f5a066cd126ab5b89f1c69d616f13ff977bbb62627585d79ba5a981e8f10056","observation_id":"47e27390-2831-4c24-9b24-d13279392e3e","resolution":{"observed_at":"2026-08-07T12:59:49.860770Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:49.511564Z","title":"Conformal uncertainty sets for robust optimization","venue":null,"work_id":"5686bcc7-2754-4378-862b-e4dd42542e56","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.533002Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:edebf4eccc3dab5e832ae7c0c1db97d565b3da334280570ec808a304c74046b2","observation_id":"0998ef0c-7bbf-4624-9390-89be2bcefbb2","resolution":{"observed_at":"2026-08-07T12:59:49.653277Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:49.252835Z","title":"Kingma and Prafulla Dhariwal","venue":null,"work_id":"1d651fc0-18e0-4745-aa8f-9f82cbac46ab","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.657067Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:bdf8fe82981b74f1d907fd455d8bdac39e2e60a3be2b8e10c0772d0302773099","observation_id":"88442ecb-31c0-4ede-9193-209b3999ad49","resolution":{"observed_at":"2026-08-07T12:59:49.386917Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:42.734536Z","title":"Neural relational inference for interacting systems, 2018","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.734536Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:4004af1e3f8c36543f5f1eaa2b3baa490111c1b05b5b73aef6a0f93c8fdde956","observation_id":"fa31f506-a1b1-4143-8ee8-ee863258a968","resolution":{"observed_at":"2026-08-07T12:59:42.734536Z","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":"2026-08-07T12:59:42.827675Z","title":"Distribution Free Prediction Sets","venue":null,"work_id":null,"year":2013},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.827675Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:8b8012460da7d34db4551843759397f07c0b14402a5d86a750db9dc758d558a0","observation_id":"fafce59a-d4d7-4e07-977f-29f685aa69f7","resolution":{"observed_at":"2026-08-07T12:59:42.827675Z","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":"2026-08-07T12:59:48.967100Z","title":null,"venue":null,"work_id":"3c4779cc-4e23-4448-bd8e-449c600b637c","year":2022},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:42.948221Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:edd45eeaa936ee9891bed21a8deaeaa65bc192053182a3ad1fe319a30801c33f","observation_id":"379e6c99-ff36-4fee-bf7c-e5fe18bbe347","resolution":{"observed_at":"2026-08-07T12:59:49.099058Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:48.729571Z","title":"Conformal multi-target regression using neural networks","venue":null,"work_id":"6386e73d-5951-4277-a595-5b3f55ded144","year":2020},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.038379Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:a24bbd079a4ce62dd84b2332cc4c6227e8a5412b0d178d83436c24f0f06ff924","observation_id":"0ab5f9ee-9070-4ef4-8960-8e9f3b242154","resolution":{"observed_at":"2026-08-07T12:59:48.848600Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:48.491325Z","title":"Copula-based conformal prediction for multi-target regression, 2021","venue":null,"work_id":"ea37c041-5912-406b-a288-cb13ea2a0c17","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.107805Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:3248f84b07d061349a7b1cd00d056df4e814df5cddd2815c1f2f5634754083da","observation_id":"c0b96c80-8f6b-4d98-bfb7-f140d300e47e","resolution":{"observed_at":"2026-08-07T12:59:48.596282Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:43.164314Z","title":"Inductive confidence machines for regression","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.164314Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:569071ac8089522b100ee3bffc69b6d6da7a1ce7f14034e07c4546f13da9331a","observation_id":"cdf90f14-b573-4bb6-9320-5a4d1d451d2a","resolution":{"observed_at":"2026-08-07T12:59:43.164314Z","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":"2026-08-07T12:59:48.204325Z","title":"Masked autoregressive flow for density estimation, 2018","venue":null,"work_id":"46751a20-6008-4988-a793-e218b0318164","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.218779Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:f6b039a29cd1974b5351a703a8fbdb27d23a0ff9507da168e1fc25cd75953c83","observation_id":"e0488145-208d-4d09-b46a-8d8b65fb1ffd","resolution":{"observed_at":"2026-08-07T12:59:48.358596Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:47.949127Z","title":"Normalizing flows for probabilistic modeling and inference, 2021","venue":null,"work_id":"80cdb0ff-696f-4d16-aa50-c28f07e4c5be","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.288407Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:bfd4869014b331657bc83bb2bed55c186be7d8bf362c986915978ed9d4f001ca","observation_id":"1b3359b6-b235-4843-ac1f-ea0f7ee9c95b","resolution":{"observed_at":"2026-08-07T12:59:48.065683Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:47.738013Z","title":"Probabilistic Conformal Prediction with Approximate Conditional Validity","venue":null,"work_id":"3197c38c-6f4d-4676-ae19-c66814be75f5","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.337944Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:15efe9c611f70de2470c2b04fd7a95cfebb65108f95176bba39361ef485542c4","observation_id":"62c56044-da20-4793-9aae-059c278d4857","resolution":{"observed_at":"2026-08-07T12:59:47.832088Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:47.441247Z","title":"Multivariate probabilistic time series forecasting via conditioned normalizing flows, 2021","venue":null,"work_id":"8a1298d9-42d8-439d-9357-c6e86ef2b02c","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.383342Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:b482430c629b7dc99d0d2f707b53ed3cce2b92bb2e0ac9baf4cc86d779cae362","observation_id":"590e080d-22ca-4560-a678-290d80281d1e","resolution":{"observed_at":"2026-08-07T12:59:47.582333Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:47.176361Z","title":"Conformalized Quantile Regression","venue":null,"work_id":"6dd45aa5-b453-48aa-89dc-a62381e88cd1","year":2019},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.454919Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:04c482a2bc084a392f54505d6be512af8862ce1a7ad8b5311bf377f6156995ce","observation_id":"ce346c2b-160a-4dd4-8619-f3b05af1bde7","resolution":{"observed_at":"2026-08-07T12:59:47.305215Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:46.913719Z","title":"Pythonrobotics: a python code collection of robotics algorithms, 2018","venue":null,"work_id":"a67eb961-35c6-4999-b488-9386fac9e28d","year":2018},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.505639Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:5ad21791891a8395d42104ddad6dc4dd66f66280f3b837642e7d358a89215bfc","observation_id":"bdb124fa-d5b4-45a8-8214-e14e22dec064","resolution":{"observed_at":"2026-08-07T12:59:47.030843Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:43.539961Z","title":"A tutorial on conformal prediction","venue":null,"work_id":null,"year":2008},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.539961Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:d9112e1cdcb3debc99e9f927813012a8f07b1f448eee5bdef1e989920f802a3c","observation_id":"0829f36c-cd4a-4c7f-b7eb-f505a01feae3","resolution":{"observed_at":"2026-08-07T12:59:43.539961Z","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":"2026-08-07T12:59:46.689468Z","title":"Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole","venue":null,"work_id":"994ce6bd-7a6e-47a7-838c-bcbfeeadab20","year":2020},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":38,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.586904Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:16c3bea9a4485e1d27e727bfbfaf36865abfb5e1066c114159217b09a200311f","observation_id":"5b79abdb-6eba-4d34-b1f1-de1f801b9a13","resolution":{"observed_at":"2026-08-07T12:59:46.793572Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:46.469277Z","title":"Maximum likelihood training of score-based diffusion models","venue":null,"work_id":"b60cbb5a-16cb-4efb-80d1-b9509bcce7e3","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":39,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.627006Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:6020309aa27425e8ab463632185c4d28589fd6d7737eec3c375f8d6005cd43d7","observation_id":"48397b43-e2c5-438c-8e5b-16bed3cc75aa","resolution":{"observed_at":"2026-08-07T12:59:46.585937Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1211.6581","last_updated":"2016-01-27T20:24:53Z","snapshot_observed_at":"2026-08-09T03:29:37.974950Z","submitted_at":"2012-11-28T11:42:36Z","title":"Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs","version":5},"cited_work":{"arxiv_id":"1211.6581","doi":null,"metadata_source":"pith","pith_arxiv_id":"1211.6581","snapshot_observed_at":"2026-08-07T12:59:44.367230Z","title":"Multi-Target Regression via Input Space Expansion: Treating Targets as Inputs","venue":"cs.LG","work_id":"a7cefc8d-cd7c-4dd6-9867-bb448cb8d835","year":2012},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":40,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.666731Z"},"links":{"cited_paper":"/paper/1211.6581","citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:5197171024237addf23a875c07ecc15cb04d8b5ccec2ec9756ee334acb61193d","observation_id":"482cc07a-ee4c-4d38-86a3-e285c3607006","resolution":{"observed_at":"2026-08-07T12:59:44.443966Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:46.279374Z","title":"Alaa, and Mihaela van der Schaar","venue":null,"work_id":"c1375063-5bfb-4703-82e6-e8206c2f5334","year":2021},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.707301Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:a0c6dc6d96a2c5e947370a5084575ae33b1a5170e7bf57ba8ff4386314ec9628","observation_id":"7181225c-84fa-43fc-bb81-a0c3495d5bc8","resolution":{"observed_at":"2026-08-07T12:59:46.383577Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:46.037558Z","title":"Copula conformal prediction for multi-step time series prediction","venue":null,"work_id":"a9704013-a883-40df-a9f4-38de5b6fa484","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":42,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.748920Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:3128924d953774749064777062126e518515448bb546a9a282cf6d2c6a910a61","observation_id":"f0df7f6b-b9c0-434e-8fa5-bfdf7b845936","resolution":{"observed_at":"2026-08-07T12:59:46.118592Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:43.798220Z","title":"Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools","venue":null,"work_id":null,"year":2012},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":43,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.798220Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:4755cd95fa56aa7b20274ce8a2005cefccf5135abbe01693b19fde62bda1fcdc","observation_id":"243a0eac-a01e-4904-8356-6cd2db06d48c","resolution":{"observed_at":"2026-08-07T12:59:43.798220Z","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":"2008.45434","doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T12:59:44.268092Z","title":"Reciprocal Velocity Obstacles for real-time multi-agent navigation","venue":null,"work_id":"c1d2f065-284b-4ec0-b33b-a906cd1462b7","year":2008},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.855699Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:95db8a76c9a0cb82cea3ab823c82ddf2c3da15733c3ded6f22ad5cb7be94a0f2","observation_id":"7cd40847-cb66-4ce1-b27a-9db9c0fc3655","resolution":{"observed_at":"2026-08-07T12:59:44.302619Z","resolver_source":"raw_fallback","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:45.782395Z","title":"Attention is All you Need","venue":null,"work_id":"596572dc-012b-4ee5-a7e5-acb38280cc47","year":2017},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":45,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.901767Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:ef5b325b7d9099f6cc67d1f20b20e70a8b2fe508572ee00cf1ee4dba7fcfeee0","observation_id":"c15f6a52-5bad-45d5-ad59-c800f8a1d670","resolution":{"observed_at":"2026-08-07T12:59:45.921013Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:43.953421Z","title":"Algorithmic learning in a random world, volume 29","venue":null,"work_id":null,"year":2005},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.953421Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:e366a651763a5360148df3789ada5e8c9d73286cd1da943bf8361a811a85d342","observation_id":"50cfcec1-d7fd-4bbc-a694-f6c013188e8b","resolution":{"observed_at":"2026-08-07T12:59:43.953421Z","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":"2026-08-07T12:59:45.511561Z","title":"Probabilistic Conformal Prediction Using Conditional Random Samples","venue":null,"work_id":"d99afcf3-4ab2-4fb4-adfa-0455f72f3ffd","year":2023},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:43.989400Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:5aab37b4a881c35059026b798cb060f83d15403bf9f347947c6b46e72298ad2e","observation_id":"9a332400-d777-45d1-83a5-282ea64d2e44","resolution":{"observed_at":"2026-08-07T12:59:45.621924Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:45.295797Z","title":"Learning Likelihoods with Conditional Normalizing Flows","venue":null,"work_id":"3f54c47d-824a-4587-834d-df4ee850ed5f","year":2019},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":48,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:44.031059Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:104500a47cc9ebc290c7007f8bf12b4914d85b9d930d1569c81826dbc417bee1","observation_id":"611cb678-9d30-4dd4-be58-285776eb286a","resolution":{"observed_at":"2026-08-07T12:59:45.404925Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:45.037019Z","title":"Normalizing Flows are Capable Generative Models , December 2024","venue":null,"work_id":"5085b565-8f0f-4459-9cbd-cfe9879ae165","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:44.070891Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:932626cc9010380fa9c69b7ee43a1d210a3b99fa0d25538b51c2af54a02e8351","observation_id":"cacd8b10-d594-43eb-8e97-1273a6549281","resolution":{"observed_at":"2026-08-07T12:59:45.171262Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+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":"2026-08-07T12:59:44.864185Z","title":"Conformalized adaptive forecasting of heterogeneous trajectories, 2024","venue":null,"work_id":"e12cb66b-e384-43bd-b281-008c266dcaea","year":2024},"citing_paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows","version":1},"reference_index":50,"source":"arxiv_source","source_observed_at":"2026-08-07T12:59:44.124291Z"},"links":{"citing_paper":"/paper/2505.23196"},"observation_digest":"sha256:9253b40457d23bd69502cbe3a5edea9711c9676487ef5ca8371c5d95f46ff349","observation_id":"20dd01eb-743b-4ff9-abd0-5e5608c0ea5f","resolution":{"observed_at":"2026-08-07T12:59:44.914979Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.23196","last_updated":"2025-05-29T07:34:51Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-07T12:48:50.012267Z","submitted_at":"2025-05-29T07:34:51Z","title":"JAPAN: Joint Adaptive Prediction Areas with Normalising-Flows"},"reference_resolution":{"displayed":50,"state_counts":{"malformed_identifier":0,"metadata_mismatch":1,"parse_uncertain":0,"unresolved":12,"verified_exact":2,"verified_fuzzy":35},"total_outbound_references":50},"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":"2026-08-11T06:34:44.6726+00:00","source":"crossref"},{"observed_at":"2026-08-11T06:34:36.301508+00:00","source":"retraction_watch"}],"thesis":"As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 2 inbound Pith citation observations for arXiv:2505.23196."}