{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2011:VVCOKI76QBSV7XX4PMG33ZFHEF","short_pith_number":"pith:VVCOKI76","canonical_record":{"source":{"id":"1110.0062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-10-01T01:07:57Z","cross_cats_sorted":["q-fin.GN"],"title_canon_sha256":"e7c5a35bcd9c8f095e9b7d820bc9387a4b047451909bddb7942aef210a044662","abstract_canon_sha256":"43efeab79555305b37e3f00dff3244b943e2bcc0d6eed7be0a444ddfc4efc0f5"},"schema_version":"1.0"},"canonical_sha256":"ad44e523fe80655fdefc7b0dbde4a721653d4a39becb20159ab47a240f4f9f27","source":{"kind":"arxiv","id":"1110.0062","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1110.0062","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"1110.0062v1","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1110.0062","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"VVCOKI76QBSV","created_at":"2026-05-18T12:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"VVCOKI76QBSV7XX4","created_at":"2026-05-18T12:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"VVCOKI76","created_at":"2026-05-18T12:26:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2011:VVCOKI76QBSV7XX4PMG33ZFHEF","target":"record","payload":{"canonical_record":{"source":{"id":"1110.0062","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-10-01T01:07:57Z","cross_cats_sorted":["q-fin.GN"],"title_canon_sha256":"e7c5a35bcd9c8f095e9b7d820bc9387a4b047451909bddb7942aef210a044662","abstract_canon_sha256":"43efeab79555305b37e3f00dff3244b943e2bcc0d6eed7be0a444ddfc4efc0f5"},"schema_version":"1.0"},"canonical_sha256":"ad44e523fe80655fdefc7b0dbde4a721653d4a39becb20159ab47a240f4f9f27","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T04:11:50.817438Z","signature_b64":"RaQEvNJaJthSqJDbU+KiVprh5Z05vx2MilReUIoDEN3Dp+yEQlY2cqqo8PEuVQNZ8ueTzauEJaVZ+vGBJceKAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ad44e523fe80655fdefc7b0dbde4a721653d4a39becb20159ab47a240f4f9f27","last_reissued_at":"2026-05-18T04:11:50.816679Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T04:11:50.816679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1110.0062","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":"2026-05-18T04:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gq7+6usEbis7ODS4z94M959bGXqUAhngHRL8B1gym9DpvuhW6412DgC5IeyE4P+QB+KMEDH6ZtzKkwnZQYLmAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:00:59.997531Z"},"content_sha256":"f1537da282e6398d89b62476fd9dfdab558e73ffd35f138344acc49abd209c42","schema_version":"1.0","event_id":"sha256:f1537da282e6398d89b62476fd9dfdab558e73ffd35f138344acc49abd209c42"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2011:VVCOKI76QBSV7XX4PMG33ZFHEF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["q-fin.GN"],"primary_cat":"stat.AP","authors_text":"Michelle L.F. Cheong, Murphy Choy","submitted_at":"2011-10-01T01:07:57Z","abstract_excerpt":"Demand functions for goods are generally cyclical in nature with characteristics such as trend or stochasticity. Most existing demand forecasting techniques in literature are designed to manage and forecast this type of demand functions. However, if the demand function is lumpy in nature, then the general demand forecasting techniques may fail given the unusual characteristics of the function. Proper identification of the underlying demand function and using the most appropriate forecasting technique becomes critical. In this paper, we will attempt to explore the key characteristics of the dif"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1110.0062","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":"2026-05-18T04:11:50Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CH63sIaoL96tskul4AfpqcQ0UHAUqdQi1hrms8ZNAp/qVNenD17TLMzKOQZ1n3pcJaowhDd1L95h1mKEfCIqBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-30T09:00:59.997880Z"},"content_sha256":"9e21e4ca045d4ae78ba22350f312b483f61c484459cbef9c5560566c21e8b547","schema_version":"1.0","event_id":"sha256:9e21e4ca045d4ae78ba22350f312b483f61c484459cbef9c5560566c21e8b547"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/bundle.json","state_url":"https://pith.science/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/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":"2026-06-30T09:00:59Z","links":{"resolver":"https://pith.science/pith/VVCOKI76QBSV7XX4PMG33ZFHEF","bundle":"https://pith.science/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/bundle.json","state":"https://pith.science/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VVCOKI76QBSV7XX4PMG33ZFHEF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2011:VVCOKI76QBSV7XX4PMG33ZFHEF","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":"43efeab79555305b37e3f00dff3244b943e2bcc0d6eed7be0a444ddfc4efc0f5","cross_cats_sorted":["q-fin.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-10-01T01:07:57Z","title_canon_sha256":"e7c5a35bcd9c8f095e9b7d820bc9387a4b047451909bddb7942aef210a044662"},"schema_version":"1.0","source":{"id":"1110.0062","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1110.0062","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"arxiv_version","alias_value":"1110.0062v1","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1110.0062","created_at":"2026-05-18T04:11:50Z"},{"alias_kind":"pith_short_12","alias_value":"VVCOKI76QBSV","created_at":"2026-05-18T12:26:44Z"},{"alias_kind":"pith_short_16","alias_value":"VVCOKI76QBSV7XX4","created_at":"2026-05-18T12:26:44Z"},{"alias_kind":"pith_short_8","alias_value":"VVCOKI76","created_at":"2026-05-18T12:26:44Z"}],"graph_snapshots":[{"event_id":"sha256:9e21e4ca045d4ae78ba22350f312b483f61c484459cbef9c5560566c21e8b547","target":"graph","created_at":"2026-05-18T04:11:50Z","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":"Demand functions for goods are generally cyclical in nature with characteristics such as trend or stochasticity. Most existing demand forecasting techniques in literature are designed to manage and forecast this type of demand functions. However, if the demand function is lumpy in nature, then the general demand forecasting techniques may fail given the unusual characteristics of the function. Proper identification of the underlying demand function and using the most appropriate forecasting technique becomes critical. In this paper, we will attempt to explore the key characteristics of the dif","authors_text":"Michelle L.F. Cheong, Murphy Choy","cross_cats":["q-fin.GN"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-10-01T01:07:57Z","title":"Identification of Demand through Statistical Distribution Modeling for Improved Demand Forecasting"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1110.0062","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:f1537da282e6398d89b62476fd9dfdab558e73ffd35f138344acc49abd209c42","target":"record","created_at":"2026-05-18T04:11:50Z","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":"43efeab79555305b37e3f00dff3244b943e2bcc0d6eed7be0a444ddfc4efc0f5","cross_cats_sorted":["q-fin.GN"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"stat.AP","submitted_at":"2011-10-01T01:07:57Z","title_canon_sha256":"e7c5a35bcd9c8f095e9b7d820bc9387a4b047451909bddb7942aef210a044662"},"schema_version":"1.0","source":{"id":"1110.0062","kind":"arxiv","version":1}},"canonical_sha256":"ad44e523fe80655fdefc7b0dbde4a721653d4a39becb20159ab47a240f4f9f27","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ad44e523fe80655fdefc7b0dbde4a721653d4a39becb20159ab47a240f4f9f27","first_computed_at":"2026-05-18T04:11:50.816679Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T04:11:50.816679Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RaQEvNJaJthSqJDbU+KiVprh5Z05vx2MilReUIoDEN3Dp+yEQlY2cqqo8PEuVQNZ8ueTzauEJaVZ+vGBJceKAA==","signature_status":"signed_v1","signed_at":"2026-05-18T04:11:50.817438Z","signed_message":"canonical_sha256_bytes"},"source_id":"1110.0062","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f1537da282e6398d89b62476fd9dfdab558e73ffd35f138344acc49abd209c42","sha256:9e21e4ca045d4ae78ba22350f312b483f61c484459cbef9c5560566c21e8b547"],"state_sha256":"448e424ceb6ae2ac68072585b0d4821b80df89aef3c3dea3adea0a08cd9ad594"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HKByGeNMEjVtZODu8oUxEInAP9bnFbhnyNcdY3EkoMijB+4zW5ktNbkJg4zJ3tSdihf8CfSJapEjwbj9SEUcDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-30T09:00:59.999883Z","bundle_sha256":"5b540cffeac47dc4f8e73d8e058547ba49d75fe8bf21f3599625b1d688f6c9f4"}}