{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:USHSEGNB7CS4NOSR3H5K5B5VCC","short_pith_number":"pith:USHSEGNB","canonical_record":{"source":{"id":"1106.0039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2011-05-31T21:54:57Z","cross_cats_sorted":[],"title_canon_sha256":"63ffc34025462c908aa6287d4b5bc75ffeeae3ad35ce10fcde9f7d08f262a089","abstract_canon_sha256":"ee780f69e1bd241ce9b0dc0dc026e139096af8402a260862da4dccd69f605ede"},"schema_version":"1.0"},"canonical_sha256":"a48f2219a1f8a5c6ba51d9faae87b51094a50f68d753c48db1efd6cc6b1ce79c","source":{"kind":"arxiv","id":"1106.0039","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.0039","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"1106.0039v1","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.0039","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"USHSEGNB7CS4","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"USHSEGNB7CS4NOSR","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"USHSEGNB","created_at":"2026-05-18T12:26:42Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:USHSEGNB7CS4NOSR3H5K5B5VCC","target":"record","payload":{"canonical_record":{"source":{"id":"1106.0039","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2011-05-31T21:54:57Z","cross_cats_sorted":[],"title_canon_sha256":"63ffc34025462c908aa6287d4b5bc75ffeeae3ad35ce10fcde9f7d08f262a089","abstract_canon_sha256":"ee780f69e1bd241ce9b0dc0dc026e139096af8402a260862da4dccd69f605ede"},"schema_version":"1.0"},"canonical_sha256":"a48f2219a1f8a5c6ba51d9faae87b51094a50f68d753c48db1efd6cc6b1ce79c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:01:45.150844Z","signature_b64":"qmFIZC8pJN4ulIPGh9D7qcCh59dQmSnspGvimWqw8Lm365B28cUx6XlStlbvJNmDhgdik57GPioobZvK04jTAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a48f2219a1f8a5c6ba51d9faae87b51094a50f68d753c48db1efd6cc6b1ce79c","last_reissued_at":"2026-05-18T02:01:45.150034Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:01:45.150034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1106.0039","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":"2026-05-18T02:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6MSwRr5tfRFsGmizEEcEcgUqFrktZGQgXaopj7oO7eCyE4PoTRAqmAlGNyWZRGs4m0Gc+rXlIYVBj7RDJv5zCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T08:27:37.394269Z"},"content_sha256":"626ea83f307bb1c61160bfd6d5ce6dc49383b620693890fb32b8ae2d95f20a00","schema_version":"1.0","event_id":"sha256:626ea83f307bb1c61160bfd6d5ce6dc49383b620693890fb32b8ae2d95f20a00"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:USHSEGNB7CS4NOSR3H5K5B5VCC","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The near-extreme density of intraday log-returns","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"q-fin.ST","authors_text":"Anirban Chakraborti, Mauro Politi, Nicolas Millot","submitted_at":"2011-05-31T21:54:57Z","abstract_excerpt":"The extreme event statistics plays a very important role in the theory and practice of time series analysis. The reassembly of classical theoretical results is often undermined by non-stationarity and dependence between increments. Furthermore, the convergence to the limit distributions can be slow, requiring a huge amount of records to obtain significant statistics, and thus limiting its practical applications. Focussing, instead, on the closely related density of \"near-extremes\" -- the distance between a record and the maximal value -- can render the statistical methods to be more suitable i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.0039","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":""},"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":"2026-05-18T02:01:45Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mMzPhvd9PkBirBs/IEljnJexcxLahESDYnsLlRn8kuVJt4uep+QC3cnU9lONUb+ZVfX5/KVhjxwcf8rzgTHnDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T08:27:37.394677Z"},"content_sha256":"53a18539999c2eea93de06a2c4289539be352c6cea3078449ef6a893fa307366","schema_version":"1.0","event_id":"sha256:53a18539999c2eea93de06a2c4289539be352c6cea3078449ef6a893fa307366"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/bundle.json","state_url":"https://pith.science/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/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":"2026-06-05T08:27:37Z","links":{"resolver":"https://pith.science/pith/USHSEGNB7CS4NOSR3H5K5B5VCC","bundle":"https://pith.science/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/bundle.json","state":"https://pith.science/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/state.json","well_known_bundle":"https://pith.science/.well-known/pith/USHSEGNB7CS4NOSR3H5K5B5VCC/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:USHSEGNB7CS4NOSR3H5K5B5VCC","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":"ee780f69e1bd241ce9b0dc0dc026e139096af8402a260862da4dccd69f605ede","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2011-05-31T21:54:57Z","title_canon_sha256":"63ffc34025462c908aa6287d4b5bc75ffeeae3ad35ce10fcde9f7d08f262a089"},"schema_version":"1.0","source":{"id":"1106.0039","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1106.0039","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"arxiv_version","alias_value":"1106.0039v1","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1106.0039","created_at":"2026-05-18T02:01:45Z"},{"alias_kind":"pith_short_12","alias_value":"USHSEGNB7CS4","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_16","alias_value":"USHSEGNB7CS4NOSR","created_at":"2026-05-18T12:26:42Z"},{"alias_kind":"pith_short_8","alias_value":"USHSEGNB","created_at":"2026-05-18T12:26:42Z"}],"graph_snapshots":[{"event_id":"sha256:53a18539999c2eea93de06a2c4289539be352c6cea3078449ef6a893fa307366","target":"graph","created_at":"2026-05-18T02:01:45Z","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":"The extreme event statistics plays a very important role in the theory and practice of time series analysis. The reassembly of classical theoretical results is often undermined by non-stationarity and dependence between increments. Furthermore, the convergence to the limit distributions can be slow, requiring a huge amount of records to obtain significant statistics, and thus limiting its practical applications. Focussing, instead, on the closely related density of \"near-extremes\" -- the distance between a record and the maximal value -- can render the statistical methods to be more suitable i","authors_text":"Anirban Chakraborti, Mauro Politi, Nicolas Millot","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2011-05-31T21:54:57Z","title":"The near-extreme density of intraday log-returns"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1106.0039","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":"sha256:626ea83f307bb1c61160bfd6d5ce6dc49383b620693890fb32b8ae2d95f20a00","target":"record","created_at":"2026-05-18T02:01:45Z","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":"ee780f69e1bd241ce9b0dc0dc026e139096af8402a260862da4dccd69f605ede","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"q-fin.ST","submitted_at":"2011-05-31T21:54:57Z","title_canon_sha256":"63ffc34025462c908aa6287d4b5bc75ffeeae3ad35ce10fcde9f7d08f262a089"},"schema_version":"1.0","source":{"id":"1106.0039","kind":"arxiv","version":1}},"canonical_sha256":"a48f2219a1f8a5c6ba51d9faae87b51094a50f68d753c48db1efd6cc6b1ce79c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a48f2219a1f8a5c6ba51d9faae87b51094a50f68d753c48db1efd6cc6b1ce79c","first_computed_at":"2026-05-18T02:01:45.150034Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T02:01:45.150034Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qmFIZC8pJN4ulIPGh9D7qcCh59dQmSnspGvimWqw8Lm365B28cUx6XlStlbvJNmDhgdik57GPioobZvK04jTAA==","signature_status":"signed_v1","signed_at":"2026-05-18T02:01:45.150844Z","signed_message":"canonical_sha256_bytes"},"source_id":"1106.0039","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:626ea83f307bb1c61160bfd6d5ce6dc49383b620693890fb32b8ae2d95f20a00","sha256:53a18539999c2eea93de06a2c4289539be352c6cea3078449ef6a893fa307366"],"state_sha256":"5ee0c05bd2a62a6f631fff70ddabc71eb7e516b8f74ccabfc373bdde84d9163b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"EpOWAVROLCZbslDYhOYOvf6uak8Z8fWffSGYu0vi5TknzD/y44e/Aib8TlbklYeaY0toCT/Uvb2AGILa8um/DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T08:27:37.396715Z","bundle_sha256":"cf29d02d5aa430e6de30f86862f2b8cd396618c9e9fc3a4a50dc97dba6a4d7da"}}