{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:42QJ3S2TYRI4HFC2ZLFY2BWWCI","short_pith_number":"pith:42QJ3S2T","canonical_record":{"source":{"id":"2202.11667","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T18:18:25Z","cross_cats_sorted":[],"title_canon_sha256":"dc2f2ee44114e11f09503efc0c6e6c4d9552b7aae62bbae1dedbaefe1854283b","abstract_canon_sha256":"f4e3131c48e581ac87e087cc0cdc30be1363bfae989ea572dd635ac0aa42060c"},"schema_version":"1.0"},"canonical_sha256":"e6a09dcb53c451c3945acacb8d06d6123d831e80c74fbb9f21a9d5482fa04a20","source":{"kind":"arxiv","id":"2202.11667","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11667","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11667v1","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11667","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"42QJ3S2TYRI4","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_16","alias_value":"42QJ3S2TYRI4HFC2","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_8","alias_value":"42QJ3S2T","created_at":"2026-07-05T03:59:35Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:42QJ3S2TYRI4HFC2ZLFY2BWWCI","target":"record","payload":{"canonical_record":{"source":{"id":"2202.11667","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T18:18:25Z","cross_cats_sorted":[],"title_canon_sha256":"dc2f2ee44114e11f09503efc0c6e6c4d9552b7aae62bbae1dedbaefe1854283b","abstract_canon_sha256":"f4e3131c48e581ac87e087cc0cdc30be1363bfae989ea572dd635ac0aa42060c"},"schema_version":"1.0"},"canonical_sha256":"e6a09dcb53c451c3945acacb8d06d6123d831e80c74fbb9f21a9d5482fa04a20","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:59:35.439924Z","signature_b64":"xYryxEjdIGCbB7EmJqEKiyUz+tmuSoF8B7zXB0EewXuxwGVnDZqJI0Ib6hgvDr1vR8Dp0b6KcZ7X2MSTs+09Cg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e6a09dcb53c451c3945acacb8d06d6123d831e80c74fbb9f21a9d5482fa04a20","last_reissued_at":"2026-07-05T03:59:35.439449Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:59:35.439449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2202.11667","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":"2026-07-05T03:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"e2AkMk60ZdkrLlDjKc9otnPk7uTUlhIwiyTv7iRIKsnu4eImHD+o/sgZGJdSMGDJ/1GzsVkz/yLbScG1bFkvAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:41:18.076396Z"},"content_sha256":"b65d25c3fa010c5d3e7a79916ec99d9bbfb0a670602bc329a619de2535ed5ea6","schema_version":"1.0","event_id":"sha256:b65d25c3fa010c5d3e7a79916ec99d9bbfb0a670602bc329a619de2535ed5ea6"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:42QJ3S2TYRI4HFC2ZLFY2BWWCI","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Jeewon Heo, Jos B.T.M. Roerdink, Youngjoo Kim","submitted_at":"2022-02-23T18:18:25Z","abstract_excerpt":"Sharpened dimensionality reduction (SDR), which belongs to the class of multidimensional projection techniques, has recently been introduced to tackle the challenges in the exploratory and visual analysis of high-dimensional data. SDR has been applied to various real-world datasets, such as human activity sensory data and astronomical datasets. However, manually labeling the samples from the generated projection are expensive. To address this problem, we propose here to use clustering methods such as k-means, Hierarchical Clustering, Density-Based Spatial Clustering of Applications with Noise "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11667","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/2202.11667/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":"2026-07-05T03:59:35Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IvzqsGVHNpmcNbgXJWrek7J6LAyE/tJXDIpZ/wTLHjM20fPMDhB5oMvZQhZNnEhAc7WdDapZO4BO971pFq0BDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-09T05:41:18.077028Z"},"content_sha256":"9480434255526d713a7b2c46c98d2fecb19848c3bbf63b950396f8d09f288a93","schema_version":"1.0","event_id":"sha256:9480434255526d713a7b2c46c98d2fecb19848c3bbf63b950396f8d09f288a93"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/bundle.json","state_url":"https://pith.science/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/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":"2026-07-09T05:41:18Z","links":{"resolver":"https://pith.science/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI","bundle":"https://pith.science/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/bundle.json","state":"https://pith.science/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/state.json","well_known_bundle":"https://pith.science/.well-known/pith/42QJ3S2TYRI4HFC2ZLFY2BWWCI/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:42QJ3S2TYRI4HFC2ZLFY2BWWCI","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":"f4e3131c48e581ac87e087cc0cdc30be1363bfae989ea572dd635ac0aa42060c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T18:18:25Z","title_canon_sha256":"dc2f2ee44114e11f09503efc0c6e6c4d9552b7aae62bbae1dedbaefe1854283b"},"schema_version":"1.0","source":{"id":"2202.11667","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2202.11667","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"arxiv_version","alias_value":"2202.11667v1","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2202.11667","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_12","alias_value":"42QJ3S2TYRI4","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_16","alias_value":"42QJ3S2TYRI4HFC2","created_at":"2026-07-05T03:59:35Z"},{"alias_kind":"pith_short_8","alias_value":"42QJ3S2T","created_at":"2026-07-05T03:59:35Z"}],"graph_snapshots":[{"event_id":"sha256:9480434255526d713a7b2c46c98d2fecb19848c3bbf63b950396f8d09f288a93","target":"graph","created_at":"2026-07-05T03:59:35Z","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/2202.11667/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Sharpened dimensionality reduction (SDR), which belongs to the class of multidimensional projection techniques, has recently been introduced to tackle the challenges in the exploratory and visual analysis of high-dimensional data. SDR has been applied to various real-world datasets, such as human activity sensory data and astronomical datasets. However, manually labeling the samples from the generated projection are expensive. To address this problem, we propose here to use clustering methods such as k-means, Hierarchical Clustering, Density-Based Spatial Clustering of Applications with Noise ","authors_text":"Jeewon Heo, Jos B.T.M. Roerdink, Youngjoo Kim","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T18:18:25Z","title":"Human Motion Detection Using Sharpened Dimensionality Reduction and Clustering"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2202.11667","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:b65d25c3fa010c5d3e7a79916ec99d9bbfb0a670602bc329a619de2535ed5ea6","target":"record","created_at":"2026-07-05T03:59:35Z","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":"f4e3131c48e581ac87e087cc0cdc30be1363bfae989ea572dd635ac0aa42060c","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-02-23T18:18:25Z","title_canon_sha256":"dc2f2ee44114e11f09503efc0c6e6c4d9552b7aae62bbae1dedbaefe1854283b"},"schema_version":"1.0","source":{"id":"2202.11667","kind":"arxiv","version":1}},"canonical_sha256":"e6a09dcb53c451c3945acacb8d06d6123d831e80c74fbb9f21a9d5482fa04a20","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e6a09dcb53c451c3945acacb8d06d6123d831e80c74fbb9f21a9d5482fa04a20","first_computed_at":"2026-07-05T03:59:35.439449Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:59:35.439449Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xYryxEjdIGCbB7EmJqEKiyUz+tmuSoF8B7zXB0EewXuxwGVnDZqJI0Ib6hgvDr1vR8Dp0b6KcZ7X2MSTs+09Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T03:59:35.439924Z","signed_message":"canonical_sha256_bytes"},"source_id":"2202.11667","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b65d25c3fa010c5d3e7a79916ec99d9bbfb0a670602bc329a619de2535ed5ea6","sha256:9480434255526d713a7b2c46c98d2fecb19848c3bbf63b950396f8d09f288a93"],"state_sha256":"23ff8bfc0b6975b12b246a47c0715d2113178d8eab5729e2d20e775efcfb9e0d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aHXqFJHts9uflm/CXtKDEnbFabPTHmcMeGhfUS7k1rK/5qCib3yNuDMzxzDwmdRg0foSzBRRiLrHBYpDep5tAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-09T05:41:18.080305Z","bundle_sha256":"55249a904c7614233ced9e236dfadc5a446223db91e811cc9323a7deeb4544b6"}}