{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:QFMIUVWWMFIDIJ2UINENBMS2K6","short_pith_number":"pith:QFMIUVWW","canonical_record":{"source":{"id":"2506.01473","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-02T09:33:31Z","cross_cats_sorted":["math.ST","stat.AP","stat.TH"],"title_canon_sha256":"0640a9ae5c355186f32ec14e97bae75367b2df97d415c5cb1a4d7aa764223540","abstract_canon_sha256":"d29ec672951267f241479ad323fa2010373c8d4848f1de66f67815802e82c5bd"},"schema_version":"1.0"},"canonical_sha256":"81588a56d661503427544348d0b25a57abd68a2ba69bf8688cb6881460473ee3","source":{"kind":"arxiv","id":"2506.01473","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01473","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01473v1","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01473","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_12","alias_value":"QFMIUVWWMFID","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_16","alias_value":"QFMIUVWWMFIDIJ2U","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_8","alias_value":"QFMIUVWW","created_at":"2026-07-05T11:14:14Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:QFMIUVWWMFIDIJ2UINENBMS2K6","target":"record","payload":{"canonical_record":{"source":{"id":"2506.01473","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-02T09:33:31Z","cross_cats_sorted":["math.ST","stat.AP","stat.TH"],"title_canon_sha256":"0640a9ae5c355186f32ec14e97bae75367b2df97d415c5cb1a4d7aa764223540","abstract_canon_sha256":"d29ec672951267f241479ad323fa2010373c8d4848f1de66f67815802e82c5bd"},"schema_version":"1.0"},"canonical_sha256":"81588a56d661503427544348d0b25a57abd68a2ba69bf8688cb6881460473ee3","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:14:14.248298Z","signature_b64":"qxQ1hmiuaXgWDgBynvSoIzKyVD/5I8eR/TTDZybf5Ccs35QbYCiE0K7W9p0qQznANkZqx9whW1hmNnjI8Uo6Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"81588a56d661503427544348d0b25a57abd68a2ba69bf8688cb6881460473ee3","last_reissued_at":"2026-07-05T11:14:14.247857Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:14:14.247857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.01473","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":"2026-07-05T11:14:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"nC2/30zhrw5DEm6lIj5pBCbBOAHENLvkngibwWNK9b9oHtGGk6wDfVSEg8z9fVQSVLByu4GsgFY4iylQIy4eCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:50:49.733663Z"},"content_sha256":"8dc91a7e45f338087bddcf6397bcc602b60c21f372cb17a2e43db8fcf755d970","schema_version":"1.0","event_id":"sha256:8dc91a7e45f338087bddcf6397bcc602b60c21f372cb17a2e43db8fcf755d970"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:QFMIUVWWMFIDIJ2UINENBMS2K6","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Characterization based Goodness-of-Fit for Generalized Pareto Distribution: A Blend of Stein's Identity and Dynamic Survival Extropy","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.ST","stat.AP","stat.TH"],"primary_cat":"stat.ME","authors_text":"Gaurav Kandpal, Nitin Gupta","submitted_at":"2025-06-02T09:33:31Z","abstract_excerpt":"This paper proposes a goodness of fit test for the generalized Pareto distribution (GPD). Firstly, we provide two characterizations of GPD based on Stein's identity and dynamic survival extropy. These characterizations are used to test GPD separately for the positive and negative shape parameter cases. A Monte Carlo simulation is conducted to provide the critical values and power of the proposed test against a good number of alternatives. Our test is simple to use and it has asymptotic normality and relatively high power, which strengthened the purpose of proposing it. Considering the case of "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01473","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/2506.01473/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":"2026-07-05T11:14:14Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5kduuRNvmeKt7g5CW1Uwx7hNnC4iPemGdYIUbe2VCnob9/GeZW0fg0Ih7KLMElLEBbuzup3cZsnIUxkeEppvAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T04:50:49.734583Z"},"content_sha256":"986d86e9af55a9874518e66ad3c26818f05fd5c4f7c73504d1f90939ce81f26e","schema_version":"1.0","event_id":"sha256:986d86e9af55a9874518e66ad3c26818f05fd5c4f7c73504d1f90939ce81f26e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/bundle.json","state_url":"https://pith.science/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/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":"2026-08-08T04:50:49Z","links":{"resolver":"https://pith.science/pith/QFMIUVWWMFIDIJ2UINENBMS2K6","bundle":"https://pith.science/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/bundle.json","state":"https://pith.science/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/state.json","well_known_bundle":"https://pith.science/.well-known/pith/QFMIUVWWMFIDIJ2UINENBMS2K6/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QFMIUVWWMFIDIJ2UINENBMS2K6","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":"d29ec672951267f241479ad323fa2010373c8d4848f1de66f67815802e82c5bd","cross_cats_sorted":["math.ST","stat.AP","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-02T09:33:31Z","title_canon_sha256":"0640a9ae5c355186f32ec14e97bae75367b2df97d415c5cb1a4d7aa764223540"},"schema_version":"1.0","source":{"id":"2506.01473","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.01473","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"arxiv_version","alias_value":"2506.01473v1","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.01473","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_12","alias_value":"QFMIUVWWMFID","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_16","alias_value":"QFMIUVWWMFIDIJ2U","created_at":"2026-07-05T11:14:14Z"},{"alias_kind":"pith_short_8","alias_value":"QFMIUVWW","created_at":"2026-07-05T11:14:14Z"}],"graph_snapshots":[{"event_id":"sha256:986d86e9af55a9874518e66ad3c26818f05fd5c4f7c73504d1f90939ce81f26e","target":"graph","created_at":"2026-07-05T11:14:14Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.01473/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a goodness of fit test for the generalized Pareto distribution (GPD). Firstly, we provide two characterizations of GPD based on Stein's identity and dynamic survival extropy. These characterizations are used to test GPD separately for the positive and negative shape parameter cases. A Monte Carlo simulation is conducted to provide the critical values and power of the proposed test against a good number of alternatives. Our test is simple to use and it has asymptotic normality and relatively high power, which strengthened the purpose of proposing it. Considering the case of ","authors_text":"Gaurav Kandpal, Nitin Gupta","cross_cats":["math.ST","stat.AP","stat.TH"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-02T09:33:31Z","title":"Characterization based Goodness-of-Fit for Generalized Pareto Distribution: A Blend of Stein's Identity and Dynamic Survival Extropy"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.01473","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":"sha256:8dc91a7e45f338087bddcf6397bcc602b60c21f372cb17a2e43db8fcf755d970","target":"record","created_at":"2026-07-05T11:14:14Z","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":"d29ec672951267f241479ad323fa2010373c8d4848f1de66f67815802e82c5bd","cross_cats_sorted":["math.ST","stat.AP","stat.TH"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.ME","submitted_at":"2025-06-02T09:33:31Z","title_canon_sha256":"0640a9ae5c355186f32ec14e97bae75367b2df97d415c5cb1a4d7aa764223540"},"schema_version":"1.0","source":{"id":"2506.01473","kind":"arxiv","version":1}},"canonical_sha256":"81588a56d661503427544348d0b25a57abd68a2ba69bf8688cb6881460473ee3","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"81588a56d661503427544348d0b25a57abd68a2ba69bf8688cb6881460473ee3","first_computed_at":"2026-07-05T11:14:14.247857Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:14:14.247857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qxQ1hmiuaXgWDgBynvSoIzKyVD/5I8eR/TTDZybf5Ccs35QbYCiE0K7W9p0qQznANkZqx9whW1hmNnjI8Uo6Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:14:14.248298Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.01473","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:8dc91a7e45f338087bddcf6397bcc602b60c21f372cb17a2e43db8fcf755d970","sha256:986d86e9af55a9874518e66ad3c26818f05fd5c4f7c73504d1f90939ce81f26e"],"state_sha256":"dc2c04538aaea8e21f6fed21612e861aa2b9c255446217745f63a453de71d390"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"2QfEhCdX6o7A4XZkuBAO+/EGpxQrLBUehjiR8Lv1YQvtRB6OLpCP8jUj7QOxFVj8wf2T0sKRBRRSmf+7cHbJCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T04:50:49.743017Z","bundle_sha256":"d8a7da8e98e155aae60d579f4197e0d3c7a6dbe89956704aed319433977a5380"}}