{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:4W7MGNCLEBDPYLKIAPGIEYTKJF","short_pith_number":"pith:4W7MGNCL","canonical_record":{"source":{"id":"2205.05425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-05-11T11:46:10Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"2f791db02317349c4ec0fd5c57bde0c78b68a6bd9205357b2b64ef9407bf50b5","abstract_canon_sha256":"4150796e7ad440452401d95df36d2d700e344901a945f6eb2a1b2c0f06d127ec"},"schema_version":"1.0"},"canonical_sha256":"e5bec3344b2046fc2d4803cc82626a4956d232d8d656243e872794c9d5e209e9","source":{"kind":"arxiv","id":"2205.05425","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.05425","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"arxiv_version","alias_value":"2205.05425v1","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.05425","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_12","alias_value":"4W7MGNCLEBDP","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_16","alias_value":"4W7MGNCLEBDPYLKI","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_8","alias_value":"4W7MGNCL","created_at":"2026-07-05T04:22:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:4W7MGNCLEBDPYLKIAPGIEYTKJF","target":"record","payload":{"canonical_record":{"source":{"id":"2205.05425","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-05-11T11:46:10Z","cross_cats_sorted":["stat.AP"],"title_canon_sha256":"2f791db02317349c4ec0fd5c57bde0c78b68a6bd9205357b2b64ef9407bf50b5","abstract_canon_sha256":"4150796e7ad440452401d95df36d2d700e344901a945f6eb2a1b2c0f06d127ec"},"schema_version":"1.0"},"canonical_sha256":"e5bec3344b2046fc2d4803cc82626a4956d232d8d656243e872794c9d5e209e9","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T04:22:25.655082Z","signature_b64":"so1tF4RqIF9Dgvh7WDqg9Xt5UzA4qwlq7rmzOqUsuExdp001IQoJkVwrbmR5YwK8mF/531XoMgR03RvhxvO9Bw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e5bec3344b2046fc2d4803cc82626a4956d232d8d656243e872794c9d5e209e9","last_reissued_at":"2026-07-05T04:22:25.654617Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T04:22:25.654617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2205.05425","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:22:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Hp5oYZSnhKCGMj7FxNqw9ajzDmRvjYqlkdHAJm2c/rN40RNvkJQQ45mX70N6qJG+ok+1V7quHpisyUJCCt20CA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T23:02:25.583160Z"},"content_sha256":"3a172af4321e5b0c212cd60f6423ff74f3ae153614eaab440fb495a27937ee59","schema_version":"1.0","event_id":"sha256:3a172af4321e5b0c212cd60f6423ff74f3ae153614eaab440fb495a27937ee59"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:4W7MGNCLEBDPYLKIAPGIEYTKJF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Modeling panels of extremes","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.AP"],"primary_cat":"stat.ME","authors_text":"Debbie J. Dupuis, Luca Trapin, Sebastian Engelke","submitted_at":"2022-05-11T11:46:10Z","abstract_excerpt":"Extreme value applications commonly employ regression techniques to capture cross-sectional heterogeneity or time-variation in the data. Estimation of the parameters of an extreme value regression model is notoriously challenging due to the small number of observations that are usually available in applications. When repeated extreme measurements are collected on the same individuals, i.e., a panel of extremes is available, pooling the observations in groups can improve the statistical inference. We study three data sets related to risk assessment in finance, climate science, and hydrology. In"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.05425","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2205.05425/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T04:22:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"sxww3pBA6SRbjWHfkw+7LGkdhxUzp2IeoJ012sQ6+/Vh7CHcf3Lt/7EXNZJ0amA9lX6C5UE46Ja83BZD1bzlCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-14T23:02:25.583708Z"},"content_sha256":"14fdbe5cfa734f2bbe6d442fe1381a506e9c65b5229b9e2362be9b505d0d7811","schema_version":"1.0","event_id":"sha256:14fdbe5cfa734f2bbe6d442fe1381a506e9c65b5229b9e2362be9b505d0d7811"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/bundle.json","state_url":"https://pith.science/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-14T23:02:25Z","links":{"resolver":"https://pith.science/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF","bundle":"https://pith.science/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/bundle.json","state":"https://pith.science/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4W7MGNCLEBDPYLKIAPGIEYTKJF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:4W7MGNCLEBDPYLKIAPGIEYTKJF","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"4150796e7ad440452401d95df36d2d700e344901a945f6eb2a1b2c0f06d127ec","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-05-11T11:46:10Z","title_canon_sha256":"2f791db02317349c4ec0fd5c57bde0c78b68a6bd9205357b2b64ef9407bf50b5"},"schema_version":"1.0","source":{"id":"2205.05425","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2205.05425","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"arxiv_version","alias_value":"2205.05425v1","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2205.05425","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_12","alias_value":"4W7MGNCLEBDP","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_16","alias_value":"4W7MGNCLEBDPYLKI","created_at":"2026-07-05T04:22:25Z"},{"alias_kind":"pith_short_8","alias_value":"4W7MGNCL","created_at":"2026-07-05T04:22:25Z"}],"graph_snapshots":[{"event_id":"sha256:14fdbe5cfa734f2bbe6d442fe1381a506e9c65b5229b9e2362be9b505d0d7811","target":"graph","created_at":"2026-07-05T04:22:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2205.05425/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Extreme value applications commonly employ regression techniques to capture cross-sectional heterogeneity or time-variation in the data. Estimation of the parameters of an extreme value regression model is notoriously challenging due to the small number of observations that are usually available in applications. When repeated extreme measurements are collected on the same individuals, i.e., a panel of extremes is available, pooling the observations in groups can improve the statistical inference. We study three data sets related to risk assessment in finance, climate science, and hydrology. In","authors_text":"Debbie J. Dupuis, Luca Trapin, Sebastian Engelke","cross_cats":["stat.AP"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-05-11T11:46:10Z","title":"Modeling panels of extremes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2205.05425","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:3a172af4321e5b0c212cd60f6423ff74f3ae153614eaab440fb495a27937ee59","target":"record","created_at":"2026-07-05T04:22:25Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"4150796e7ad440452401d95df36d2d700e344901a945f6eb2a1b2c0f06d127ec","cross_cats_sorted":["stat.AP"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2022-05-11T11:46:10Z","title_canon_sha256":"2f791db02317349c4ec0fd5c57bde0c78b68a6bd9205357b2b64ef9407bf50b5"},"schema_version":"1.0","source":{"id":"2205.05425","kind":"arxiv","version":1}},"canonical_sha256":"e5bec3344b2046fc2d4803cc82626a4956d232d8d656243e872794c9d5e209e9","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e5bec3344b2046fc2d4803cc82626a4956d232d8d656243e872794c9d5e209e9","first_computed_at":"2026-07-05T04:22:25.654617Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T04:22:25.654617Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"so1tF4RqIF9Dgvh7WDqg9Xt5UzA4qwlq7rmzOqUsuExdp001IQoJkVwrbmR5YwK8mF/531XoMgR03RvhxvO9Bw==","signature_status":"signed_v1","signed_at":"2026-07-05T04:22:25.655082Z","signed_message":"canonical_sha256_bytes"},"source_id":"2205.05425","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3a172af4321e5b0c212cd60f6423ff74f3ae153614eaab440fb495a27937ee59","sha256:14fdbe5cfa734f2bbe6d442fe1381a506e9c65b5229b9e2362be9b505d0d7811"],"state_sha256":"225e5312c4647593e9757ab7d11262d0a9f9bc5200218804e052be63bfb40c2f"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Rg+9sLjqJZXcEf5FuxkD+SYjfBQyo6/DQES0+XJ7QsD52kkOo2yK/IA6S5qEfiohwhtIsF/2DU/jfqBw1yy5DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-14T23:02:25.589617Z","bundle_sha256":"f9af23efe67c36f42ebd8e434eb0dc823c671bd210e99edcd7fdba9a6986a636"}}