{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2012:E7TA6LTJBUGKMCKQMIGGTUHCKW","short_pith_number":"pith:E7TA6LTJ","canonical_record":{"source":{"id":"1206.5014","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2012-06-21T20:41:48Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"7b65223d512c5737e24fbbf24192e581012c62f04b4d8e3a657f788830ccd89c","abstract_canon_sha256":"13f5afe9da27e489b91dc7b958514aafc938d0cb97562ab21ed6ec82217b1a09"},"schema_version":"1.0"},"canonical_sha256":"27e60f2e690d0ca60950620c69d0e255b49609f477d3aff9de15ab7b71cc6731","source":{"kind":"arxiv","id":"1206.5014","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.5014","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"1206.5014v1","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.5014","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"E7TA6LTJBUGK","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"E7TA6LTJBUGKMCKQ","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"E7TA6LTJ","created_at":"2026-05-18T12:27:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2012:E7TA6LTJBUGKMCKQMIGGTUHCKW","target":"record","payload":{"canonical_record":{"source":{"id":"1206.5014","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2012-06-21T20:41:48Z","cross_cats_sorted":["stat.ME"],"title_canon_sha256":"7b65223d512c5737e24fbbf24192e581012c62f04b4d8e3a657f788830ccd89c","abstract_canon_sha256":"13f5afe9da27e489b91dc7b958514aafc938d0cb97562ab21ed6ec82217b1a09"},"schema_version":"1.0"},"canonical_sha256":"27e60f2e690d0ca60950620c69d0e255b49609f477d3aff9de15ab7b71cc6731","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:52:52.629542Z","signature_b64":"WSjkC6GbljGk86u8oWFmuSq7A44KtpVqvbObu658QtKvbHFOXPseCSfQn2qk02BFznMj9/+xyR0BCa3A8ExfCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"27e60f2e690d0ca60950620c69d0e255b49609f477d3aff9de15ab7b71cc6731","last_reissued_at":"2026-05-18T03:52:52.628735Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:52:52.628735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1206.5014","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":"2026-05-18T03:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u8Y45lcm8T7MxXHfdxuMW9XxEUdLbE+9cVB9eAdnn211YM4fdo9pWG1XXhVEyZ1sGLDyqc3nTOOwFfAf5lIJBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T05:54:58.650436Z"},"content_sha256":"93521311c21efbea8ee33cd6a40bf2bebacbae20a390b81e52f01bc9f70437b7","schema_version":"1.0","event_id":"sha256:93521311c21efbea8ee33cd6a40bf2bebacbae20a390b81e52f01bc9f70437b7"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2012:E7TA6LTJBUGKMCKQMIGGTUHCKW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Quantitative model validation techniques: new insights","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ME"],"primary_cat":"physics.data-an","authors_text":"Sankaran Mahadevan, You Ling","submitted_at":"2012-06-21T20:41:48Z","abstract_excerpt":"This paper develops new insights into quantitative methods for the validation of computational model prediction. Four types of methods are investigated, namely classical and Bayesian hypothesis testing, a reliability-based method, and an area metric-based method. Traditional Bayesian hypothesis testing is extended based on interval hypotheses on distribution parameters and equality hypotheses on probability distributions, in order to validate models with deterministic/stochastic output for given inputs. Two types of validation experiments are considered - fully characterized (all the model/exp"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.5014","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":"2026-05-18T03:52:52Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BuJ33PX3wn9lq+FgjrstYWDIMVpMdufbzhvoj7TMcb9Xn+f7gp2A8PtCQUauYdD8iY3SFxfMJ1D/r1R1Z/7MDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T05:54:58.651078Z"},"content_sha256":"3bba4b600126d8c7c27a6d47373930fd356dced72fe520d4551996a05c74a71c","schema_version":"1.0","event_id":"sha256:3bba4b600126d8c7c27a6d47373930fd356dced72fe520d4551996a05c74a71c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/bundle.json","state_url":"https://pith.science/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/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":"2026-05-26T05:54:58Z","links":{"resolver":"https://pith.science/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW","bundle":"https://pith.science/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/bundle.json","state":"https://pith.science/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/E7TA6LTJBUGKMCKQMIGGTUHCKW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2012:E7TA6LTJBUGKMCKQMIGGTUHCKW","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":"13f5afe9da27e489b91dc7b958514aafc938d0cb97562ab21ed6ec82217b1a09","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2012-06-21T20:41:48Z","title_canon_sha256":"7b65223d512c5737e24fbbf24192e581012c62f04b4d8e3a657f788830ccd89c"},"schema_version":"1.0","source":{"id":"1206.5014","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1206.5014","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"arxiv_version","alias_value":"1206.5014v1","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1206.5014","created_at":"2026-05-18T03:52:52Z"},{"alias_kind":"pith_short_12","alias_value":"E7TA6LTJBUGK","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_16","alias_value":"E7TA6LTJBUGKMCKQ","created_at":"2026-05-18T12:27:04Z"},{"alias_kind":"pith_short_8","alias_value":"E7TA6LTJ","created_at":"2026-05-18T12:27:04Z"}],"graph_snapshots":[{"event_id":"sha256:3bba4b600126d8c7c27a6d47373930fd356dced72fe520d4551996a05c74a71c","target":"graph","created_at":"2026-05-18T03:52:52Z","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":"This paper develops new insights into quantitative methods for the validation of computational model prediction. Four types of methods are investigated, namely classical and Bayesian hypothesis testing, a reliability-based method, and an area metric-based method. Traditional Bayesian hypothesis testing is extended based on interval hypotheses on distribution parameters and equality hypotheses on probability distributions, in order to validate models with deterministic/stochastic output for given inputs. Two types of validation experiments are considered - fully characterized (all the model/exp","authors_text":"Sankaran Mahadevan, You Ling","cross_cats":["stat.ME"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2012-06-21T20:41:48Z","title":"Quantitative model validation techniques: new insights"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1206.5014","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":"sha256:93521311c21efbea8ee33cd6a40bf2bebacbae20a390b81e52f01bc9f70437b7","target":"record","created_at":"2026-05-18T03:52:52Z","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":"13f5afe9da27e489b91dc7b958514aafc938d0cb97562ab21ed6ec82217b1a09","cross_cats_sorted":["stat.ME"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"physics.data-an","submitted_at":"2012-06-21T20:41:48Z","title_canon_sha256":"7b65223d512c5737e24fbbf24192e581012c62f04b4d8e3a657f788830ccd89c"},"schema_version":"1.0","source":{"id":"1206.5014","kind":"arxiv","version":1}},"canonical_sha256":"27e60f2e690d0ca60950620c69d0e255b49609f477d3aff9de15ab7b71cc6731","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"27e60f2e690d0ca60950620c69d0e255b49609f477d3aff9de15ab7b71cc6731","first_computed_at":"2026-05-18T03:52:52.628735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T03:52:52.628735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"WSjkC6GbljGk86u8oWFmuSq7A44KtpVqvbObu658QtKvbHFOXPseCSfQn2qk02BFznMj9/+xyR0BCa3A8ExfCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T03:52:52.629542Z","signed_message":"canonical_sha256_bytes"},"source_id":"1206.5014","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:93521311c21efbea8ee33cd6a40bf2bebacbae20a390b81e52f01bc9f70437b7","sha256:3bba4b600126d8c7c27a6d47373930fd356dced72fe520d4551996a05c74a71c"],"state_sha256":"2e985b14ae93074e832b9cdab61dcd58b987f785ec5fdc0349dc7abf558cf23e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QXCAxhUwF3gm3JrJQ+3OCWgw4wdKOMz2V8zaYIRvWuYVPjXF7Kd2how+A94NoeTIds9tFabc3Gs6pUVNL4+bAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T05:54:58.654945Z","bundle_sha256":"04655c24b461ee13811111b7a155b197a998c235f3e5a40854d50f75019ada81"}}