{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:JLE5TFC624KYJVYHAKG4IJBVK5","short_pith_number":"pith:JLE5TFC6","canonical_record":{"source":{"id":"1702.06195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-02-20T22:11:31Z","cross_cats_sorted":[],"title_canon_sha256":"c9e6a8d0b48041f305e9164cec9db0816b12fd302a89ffa6c3892a6acf427c5a","abstract_canon_sha256":"879e33a638fb61c7bceb67f6679217be1f80f5218f87067a5d2b40e75ca53e32"},"schema_version":"1.0"},"canonical_sha256":"4ac9d9945ed71584d707028dc42435577afd0564f4ade421e7d936a3daf12f77","source":{"kind":"arxiv","id":"1702.06195","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.06195","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"1702.06195v1","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.06195","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"JLE5TFC624KY","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JLE5TFC624KYJVYH","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JLE5TFC6","created_at":"2026-05-18T12:31:24Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:JLE5TFC624KYJVYHAKG4IJBVK5","target":"record","payload":{"canonical_record":{"source":{"id":"1702.06195","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-02-20T22:11:31Z","cross_cats_sorted":[],"title_canon_sha256":"c9e6a8d0b48041f305e9164cec9db0816b12fd302a89ffa6c3892a6acf427c5a","abstract_canon_sha256":"879e33a638fb61c7bceb67f6679217be1f80f5218f87067a5d2b40e75ca53e32"},"schema_version":"1.0"},"canonical_sha256":"4ac9d9945ed71584d707028dc42435577afd0564f4ade421e7d936a3daf12f77","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:50:14.753433Z","signature_b64":"BbNe9DlU3xPhcg27KCFfQpOOAozi5WOrEYc07xgam8F4zecVAqfRdBGoMJDndsY2wImJ5RjzRG8Nvl6Rh8meDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4ac9d9945ed71584d707028dc42435577afd0564f4ade421e7d936a3daf12f77","last_reissued_at":"2026-05-18T00:50:14.752902Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:50:14.752902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1702.06195","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":"2026-05-18T00:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"kxdx5b9ZPCILHYB2uiBZLkkV5eSJ9yPAuob3tsagLo1GW24bsTQUU9BU/xW81Sbh3QppkP+PCH07rUjvXTICAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T07:43:51.344848Z"},"content_sha256":"bcb8ff82b7f332fa69842e00c833bbc3aeecb4545604c27badf40583f8c6778a","schema_version":"1.0","event_id":"sha256:bcb8ff82b7f332fa69842e00c833bbc3aeecb4545604c27badf40583f8c6778a"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:JLE5TFC624KYJVYHAKG4IJBVK5","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Characterization of exponential distribution through bivariate regression of record values revisited","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"math.PR","authors_text":"George P. Yanev","submitted_at":"2017-02-20T22:11:31Z","abstract_excerpt":"It is shown that the exponential is the only distribution which satisfies a certain regression equation. This characterization equation involves the conditional expectation (regression function) of a record value given a pair of record values, one previous and one future, as covariates. The underlying distribution is exponential if and only if the above regression equals the expected value of an appropriately defined Beta distributed random variable. In a particular case, the expected value of the Beta variable reduces to a weighted average of the covariates."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.06195","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":"2026-05-18T00:50:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BQsjEgeKjPX8GZEVt/RJcCs13Imwg7do4RSoTO8YMBf0GhVFxhHukRBG3L0PXwDsJDaE7TWe7EHjwKYlWPq5Cg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-25T07:43:51.345339Z"},"content_sha256":"7f6a3e6581f46044d906475b35230deb0c5b130c9c55d5c06118a3bc227af48f","schema_version":"1.0","event_id":"sha256:7f6a3e6581f46044d906475b35230deb0c5b130c9c55d5c06118a3bc227af48f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JLE5TFC624KYJVYHAKG4IJBVK5/bundle.json","state_url":"https://pith.science/pith/JLE5TFC624KYJVYHAKG4IJBVK5/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JLE5TFC624KYJVYHAKG4IJBVK5/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":"2026-06-25T07:43:51Z","links":{"resolver":"https://pith.science/pith/JLE5TFC624KYJVYHAKG4IJBVK5","bundle":"https://pith.science/pith/JLE5TFC624KYJVYHAKG4IJBVK5/bundle.json","state":"https://pith.science/pith/JLE5TFC624KYJVYHAKG4IJBVK5/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JLE5TFC624KYJVYHAKG4IJBVK5/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:JLE5TFC624KYJVYHAKG4IJBVK5","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":"879e33a638fb61c7bceb67f6679217be1f80f5218f87067a5d2b40e75ca53e32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-02-20T22:11:31Z","title_canon_sha256":"c9e6a8d0b48041f305e9164cec9db0816b12fd302a89ffa6c3892a6acf427c5a"},"schema_version":"1.0","source":{"id":"1702.06195","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1702.06195","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"arxiv_version","alias_value":"1702.06195v1","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1702.06195","created_at":"2026-05-18T00:50:14Z"},{"alias_kind":"pith_short_12","alias_value":"JLE5TFC624KY","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_16","alias_value":"JLE5TFC624KYJVYH","created_at":"2026-05-18T12:31:24Z"},{"alias_kind":"pith_short_8","alias_value":"JLE5TFC6","created_at":"2026-05-18T12:31:24Z"}],"graph_snapshots":[{"event_id":"sha256:7f6a3e6581f46044d906475b35230deb0c5b130c9c55d5c06118a3bc227af48f","target":"graph","created_at":"2026-05-18T00:50:14Z","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":"It is shown that the exponential is the only distribution which satisfies a certain regression equation. This characterization equation involves the conditional expectation (regression function) of a record value given a pair of record values, one previous and one future, as covariates. The underlying distribution is exponential if and only if the above regression equals the expected value of an appropriately defined Beta distributed random variable. In a particular case, the expected value of the Beta variable reduces to a weighted average of the covariates.","authors_text":"George P. Yanev","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-02-20T22:11:31Z","title":"Characterization of exponential distribution through bivariate regression of record values revisited"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1702.06195","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:bcb8ff82b7f332fa69842e00c833bbc3aeecb4545604c27badf40583f8c6778a","target":"record","created_at":"2026-05-18T00:50:14Z","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":"879e33a638fb61c7bceb67f6679217be1f80f5218f87067a5d2b40e75ca53e32","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.PR","submitted_at":"2017-02-20T22:11:31Z","title_canon_sha256":"c9e6a8d0b48041f305e9164cec9db0816b12fd302a89ffa6c3892a6acf427c5a"},"schema_version":"1.0","source":{"id":"1702.06195","kind":"arxiv","version":1}},"canonical_sha256":"4ac9d9945ed71584d707028dc42435577afd0564f4ade421e7d936a3daf12f77","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4ac9d9945ed71584d707028dc42435577afd0564f4ade421e7d936a3daf12f77","first_computed_at":"2026-05-18T00:50:14.752902Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:50:14.752902Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"BbNe9DlU3xPhcg27KCFfQpOOAozi5WOrEYc07xgam8F4zecVAqfRdBGoMJDndsY2wImJ5RjzRG8Nvl6Rh8meDw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:50:14.753433Z","signed_message":"canonical_sha256_bytes"},"source_id":"1702.06195","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:bcb8ff82b7f332fa69842e00c833bbc3aeecb4545604c27badf40583f8c6778a","sha256:7f6a3e6581f46044d906475b35230deb0c5b130c9c55d5c06118a3bc227af48f"],"state_sha256":"3759d68c6e6da93f2e86e6e821406e51db0949171a53fca7d536ece7e051c14a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ig7Z/DGVgbQ53i/7p5iCOpiphMXtjCrVET3JErbEhVttisQnxFTOvFlKcgptRbpIVlfdT5qF4xPnhBzhCsHnAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-25T07:43:51.347895Z","bundle_sha256":"46e3bb09465ec39f495067be3e68d6c764b0422202ae3a99ad5fa54c5285df3e"}}