{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:XZUHNDTSPVKH7GZFJSP7B4QR2J","short_pith_number":"pith:XZUHNDTS","canonical_record":{"source":{"id":"1810.04491","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-10T12:56:06Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ea8b38e40278fa3aa82896af31587003cbc26a94b83718394d99552a0356506c","abstract_canon_sha256":"1eeea88d17be73a22cb830b37f628c9fc65d92dad95e6ea2301e8ec892b12576"},"schema_version":"1.0"},"canonical_sha256":"be68768e727d547f9b254c9ff0f211d274746301ac60515b989ac97d1e55bb98","source":{"kind":"arxiv","id":"1810.04491","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04491","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04491v1","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04491","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"pith_short_12","alias_value":"XZUHNDTSPVKH","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"XZUHNDTSPVKH7GZF","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"XZUHNDTS","created_at":"2026-05-18T12:33:04Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:XZUHNDTSPVKH7GZFJSP7B4QR2J","target":"record","payload":{"canonical_record":{"source":{"id":"1810.04491","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-10T12:56:06Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"ea8b38e40278fa3aa82896af31587003cbc26a94b83718394d99552a0356506c","abstract_canon_sha256":"1eeea88d17be73a22cb830b37f628c9fc65d92dad95e6ea2301e8ec892b12576"},"schema_version":"1.0"},"canonical_sha256":"be68768e727d547f9b254c9ff0f211d274746301ac60515b989ac97d1e55bb98","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:03:40.013550Z","signature_b64":"KIwipY7yi9UptplYZNVg5VTXLqsvHTQAFm/qxFmdNqLPhkyCUt7o7zPB2dgFPEJlb27JQizF7KTHMsa8alwDBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"be68768e727d547f9b254c9ff0f211d274746301ac60515b989ac97d1e55bb98","last_reissued_at":"2026-05-18T00:03:40.013110Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:03:40.013110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.04491","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":"2026-05-18T00:03:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gDcxXWoCcXDfyg9nCHyzmz4qOyhfBoXStLXC6+y/sGEEy6UkjqrlzesEdX6iA40SCiYLcePPxYpt3bikRqPhAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T13:32:12.988106Z"},"content_sha256":"ad7e7ae1cad437078ad472856d973d8757fe2bd633aa2b4f7a8fc6360bd00caa","schema_version":"1.0","event_id":"sha256:ad7e7ae1cad437078ad472856d973d8757fe2bd633aa2b4f7a8fc6360bd00caa"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:XZUHNDTSPVKH7GZFJSP7B4QR2J","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-class Classification Model Inspired by Quantum Detection Theory","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Massimo Melucci, Prayag Tiwari","submitted_at":"2018-10-10T12:56:06Z","abstract_excerpt":"Machine Learning has become very famous currently which assist in identifying the patterns from the raw data. Technological advancement has led to substantial improvement in Machine Learning which, thus helping to improve prediction. Current Machine Learning models are based on Classical Theory, which can be replaced by Quantum Theory to improve the effectiveness of the model. In the previous work, we developed binary classifier inspired by Quantum Detection Theory. In this extended abstract, our main goal is to develop multi-class classifier. We generally use the terminology multinomial class"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04491","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":"2026-05-18T00:03:40Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cSgb9ZqRxs5BiM1GeETmWVKWZF6ldPueeG6wwT0Sa2r6Xgs8yWFkpXnILUN39ApVDRG3U2MaG+TtDYEdkGKkCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-31T13:32:12.988910Z"},"content_sha256":"6f39cb7feed0b08e32b977ba5d5e02d287724009d55514c1b11e6f1e85dd0b53","schema_version":"1.0","event_id":"sha256:6f39cb7feed0b08e32b977ba5d5e02d287724009d55514c1b11e6f1e85dd0b53"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/bundle.json","state_url":"https://pith.science/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/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":"2026-05-31T13:32:12Z","links":{"resolver":"https://pith.science/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J","bundle":"https://pith.science/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/bundle.json","state":"https://pith.science/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XZUHNDTSPVKH7GZFJSP7B4QR2J/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:XZUHNDTSPVKH7GZFJSP7B4QR2J","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":"1eeea88d17be73a22cb830b37f628c9fc65d92dad95e6ea2301e8ec892b12576","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-10T12:56:06Z","title_canon_sha256":"ea8b38e40278fa3aa82896af31587003cbc26a94b83718394d99552a0356506c"},"schema_version":"1.0","source":{"id":"1810.04491","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.04491","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"arxiv_version","alias_value":"1810.04491v1","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.04491","created_at":"2026-05-18T00:03:40Z"},{"alias_kind":"pith_short_12","alias_value":"XZUHNDTSPVKH","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_16","alias_value":"XZUHNDTSPVKH7GZF","created_at":"2026-05-18T12:33:04Z"},{"alias_kind":"pith_short_8","alias_value":"XZUHNDTS","created_at":"2026-05-18T12:33:04Z"}],"graph_snapshots":[{"event_id":"sha256:6f39cb7feed0b08e32b977ba5d5e02d287724009d55514c1b11e6f1e85dd0b53","target":"graph","created_at":"2026-05-18T00:03:40Z","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":"Machine Learning has become very famous currently which assist in identifying the patterns from the raw data. Technological advancement has led to substantial improvement in Machine Learning which, thus helping to improve prediction. Current Machine Learning models are based on Classical Theory, which can be replaced by Quantum Theory to improve the effectiveness of the model. In the previous work, we developed binary classifier inspired by Quantum Detection Theory. In this extended abstract, our main goal is to develop multi-class classifier. We generally use the terminology multinomial class","authors_text":"Massimo Melucci, Prayag Tiwari","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-10T12:56:06Z","title":"Multi-class Classification Model Inspired by Quantum Detection Theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.04491","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:ad7e7ae1cad437078ad472856d973d8757fe2bd633aa2b4f7a8fc6360bd00caa","target":"record","created_at":"2026-05-18T00:03:40Z","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":"1eeea88d17be73a22cb830b37f628c9fc65d92dad95e6ea2301e8ec892b12576","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-10-10T12:56:06Z","title_canon_sha256":"ea8b38e40278fa3aa82896af31587003cbc26a94b83718394d99552a0356506c"},"schema_version":"1.0","source":{"id":"1810.04491","kind":"arxiv","version":1}},"canonical_sha256":"be68768e727d547f9b254c9ff0f211d274746301ac60515b989ac97d1e55bb98","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"be68768e727d547f9b254c9ff0f211d274746301ac60515b989ac97d1e55bb98","first_computed_at":"2026-05-18T00:03:40.013110Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:03:40.013110Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"KIwipY7yi9UptplYZNVg5VTXLqsvHTQAFm/qxFmdNqLPhkyCUt7o7zPB2dgFPEJlb27JQizF7KTHMsa8alwDBw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:03:40.013550Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.04491","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ad7e7ae1cad437078ad472856d973d8757fe2bd633aa2b4f7a8fc6360bd00caa","sha256:6f39cb7feed0b08e32b977ba5d5e02d287724009d55514c1b11e6f1e85dd0b53"],"state_sha256":"56a7e04c70110671eead2c1ceb870cb499816b5a9531f12d661555d1845b639d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Uu/2a3jGftNepZzaf1NtFQpC0qokyXpaX0aVlHoZttDl1ZLOD+j8p+7gZtwlDrJkdnXpQiOF0rLGHRZHUzNEBQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-31T13:32:12.993362Z","bundle_sha256":"241caf2abfa3e0305e8a166e4bcc244a7d2d0e5d5e4ee209d1a6b30a83e55ccc"}}