{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2016:BNMXXDYWQTBDE2VGZG2P5TO4KE","short_pith_number":"pith:BNMXXDYW","canonical_record":{"source":{"id":"1606.02927","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2016-06-09T12:10:06Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"ed3d7d2e620ed7b289d0a8b636196bcecddb9179996ebb78383d192b62b28784","abstract_canon_sha256":"b27cabc7895ff42f46ae778f1fecb0ddfe56ad71970190c28d7257c7e2854f34"},"schema_version":"1.0"},"canonical_sha256":"0b597b8f1684c2326aa6c9b4fecddc510570ec4f13f0994988535dce6ccee8f8","source":{"kind":"arxiv","id":"1606.02927","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.02927","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1606.02927v2","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.02927","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"BNMXXDYWQTBD","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"BNMXXDYWQTBDE2VG","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"BNMXXDYW","created_at":"2026-05-18T12:30:07Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2016:BNMXXDYWQTBDE2VGZG2P5TO4KE","target":"record","payload":{"canonical_record":{"source":{"id":"1606.02927","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2016-06-09T12:10:06Z","cross_cats_sorted":["math.ST","stat.TH"],"title_canon_sha256":"ed3d7d2e620ed7b289d0a8b636196bcecddb9179996ebb78383d192b62b28784","abstract_canon_sha256":"b27cabc7895ff42f46ae778f1fecb0ddfe56ad71970190c28d7257c7e2854f34"},"schema_version":"1.0"},"canonical_sha256":"0b597b8f1684c2326aa6c9b4fecddc510570ec4f13f0994988535dce6ccee8f8","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:09.661538Z","signature_b64":"F2rU9ZUbj6Aaw5DZN2JReWpgmcAX9qkvnbX4jsf5L44/SHC7W9Du8K5Z1TC9ig8VgHOEIbeXxi6nklwtRNnBBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"0b597b8f1684c2326aa6c9b4fecddc510570ec4f13f0994988535dce6ccee8f8","last_reissued_at":"2026-05-18T00:50:09.660891Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:09.660891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1606.02927","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"USGFuAZo1E27eQ1oUzw/qW2QCbJq+RNCt4WagbkZwSWBdG9AaCPTUV/SlMe7LlPK0rEkAxAbPU2QkB7Y43yWAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T09:12:33.912146Z"},"content_sha256":"4962639b370320289987319e246c9327158191805423c05b9104de3a1a438c71","schema_version":"1.0","event_id":"sha256:4962639b370320289987319e246c9327158191805423c05b9104de3a1a438c71"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2016:BNMXXDYWQTBDE2VGZG2P5TO4KE","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Conditional Extreme Value Models: Fallacies and Pitfalls","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.TH"],"primary_cat":"math.PR","authors_text":"Anja Jan{\\ss}en, Holger Drees","submitted_at":"2016-06-09T12:10:06Z","abstract_excerpt":"Conditional extreme value models have been introduced by Heffernan and Resnick (2007) to describe the asymptotic behavior of a random vector as one specific component becomes extreme. Obviously, this class of models is related to classical multivariate extreme value theory which describes the behavior of a random vector as its norm (and therefore at least one of its components) becomes extreme. However, it turns out that this relationship is rather subtle and sometimes contrary to intuition. We clarify the differences between the two approaches with the help of several illuminative (counter)ex"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.02927","kind":"arxiv","version":2},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-18T00:50:09Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Q7m9pUC+KlDNq98KWB+6Zw+1/KTyhCbTdkgoTGsr6BRBr52qmMjtoYRbVzbWXHeFKtQa7ou/meFRJhmTk0UmCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-24T09:12:33.912510Z"},"content_sha256":"3ced1090c0b4b106396312bb2be0d7c2b12ae8576f973e70cbeb120ed9a5369a","schema_version":"1.0","event_id":"sha256:3ced1090c0b4b106396312bb2be0d7c2b12ae8576f973e70cbeb120ed9a5369a"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/bundle.json","state_url":"https://pith.science/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/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":"2026-06-24T09:12:33Z","links":{"resolver":"https://pith.science/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE","bundle":"https://pith.science/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/bundle.json","state":"https://pith.science/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/state.json","well_known_bundle":"https://pith.science/.well-known/pith/BNMXXDYWQTBDE2VGZG2P5TO4KE/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2016:BNMXXDYWQTBDE2VGZG2P5TO4KE","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":"b27cabc7895ff42f46ae778f1fecb0ddfe56ad71970190c28d7257c7e2854f34","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2016-06-09T12:10:06Z","title_canon_sha256":"ed3d7d2e620ed7b289d0a8b636196bcecddb9179996ebb78383d192b62b28784"},"schema_version":"1.0","source":{"id":"1606.02927","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1606.02927","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"arxiv_version","alias_value":"1606.02927v2","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1606.02927","created_at":"2026-05-18T00:50:09Z"},{"alias_kind":"pith_short_12","alias_value":"BNMXXDYWQTBD","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_16","alias_value":"BNMXXDYWQTBDE2VG","created_at":"2026-05-18T12:30:07Z"},{"alias_kind":"pith_short_8","alias_value":"BNMXXDYW","created_at":"2026-05-18T12:30:07Z"}],"graph_snapshots":[{"event_id":"sha256:3ced1090c0b4b106396312bb2be0d7c2b12ae8576f973e70cbeb120ed9a5369a","target":"graph","created_at":"2026-05-18T00:50:09Z","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"},"paper":{"abstract_excerpt":"Conditional extreme value models have been introduced by Heffernan and Resnick (2007) to describe the asymptotic behavior of a random vector as one specific component becomes extreme. Obviously, this class of models is related to classical multivariate extreme value theory which describes the behavior of a random vector as its norm (and therefore at least one of its components) becomes extreme. However, it turns out that this relationship is rather subtle and sometimes contrary to intuition. We clarify the differences between the two approaches with the help of several illuminative (counter)ex","authors_text":"Anja Jan{\\ss}en, Holger Drees","cross_cats":["math.ST","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2016-06-09T12:10:06Z","title":"Conditional Extreme Value Models: Fallacies and Pitfalls"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1606.02927","kind":"arxiv","version":2},"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":"sha256:4962639b370320289987319e246c9327158191805423c05b9104de3a1a438c71","target":"record","created_at":"2026-05-18T00:50:09Z","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":"b27cabc7895ff42f46ae778f1fecb0ddfe56ad71970190c28d7257c7e2854f34","cross_cats_sorted":["math.ST","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2016-06-09T12:10:06Z","title_canon_sha256":"ed3d7d2e620ed7b289d0a8b636196bcecddb9179996ebb78383d192b62b28784"},"schema_version":"1.0","source":{"id":"1606.02927","kind":"arxiv","version":2}},"canonical_sha256":"0b597b8f1684c2326aa6c9b4fecddc510570ec4f13f0994988535dce6ccee8f8","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"0b597b8f1684c2326aa6c9b4fecddc510570ec4f13f0994988535dce6ccee8f8","first_computed_at":"2026-05-18T00:50:09.660891Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:09.660891Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"F2rU9ZUbj6Aaw5DZN2JReWpgmcAX9qkvnbX4jsf5L44/SHC7W9Du8K5Z1TC9ig8VgHOEIbeXxi6nklwtRNnBBQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:09.661538Z","signed_message":"canonical_sha256_bytes"},"source_id":"1606.02927","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4962639b370320289987319e246c9327158191805423c05b9104de3a1a438c71","sha256:3ced1090c0b4b106396312bb2be0d7c2b12ae8576f973e70cbeb120ed9a5369a"],"state_sha256":"8e29d179d4034fee1646fb10d8f2d65a2bdb87d0f93d53c5f677cfa960b98dbc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"yURj5EqndwJDi1pzyZX17W3lNPoq+LmxLnQk/8fo3iQxvekBoVIIpnwLH77tUItYKRNgUeydcnXf8NltgSyIBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-24T09:12:33.914495Z","bundle_sha256":"fdc5a47fae1b2b4418ab55ff0aaa3fffaef7c118c542ce638881f6d29cc11d99"}}