{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2015:I2MFAQMMI63WQKATYH4ZHY5SVM","short_pith_number":"pith:I2MFAQMM","canonical_record":{"source":{"id":"1503.01868","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-03-06T08:00:43Z","cross_cats_sorted":[],"title_canon_sha256":"152d6108e409d30a9a6d48f7f67e08b8523637dddb03c1344807a71b0f76e0ff","abstract_canon_sha256":"4f5b99d9a97e3288a323cda8d966517b9d4aa4a095628d834008d8bea11c04b0"},"schema_version":"1.0"},"canonical_sha256":"469850418c47b7682813c1f993e3b2ab21ff9ac1587b403a455544481713e7aa","source":{"kind":"arxiv","id":"1503.01868","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.01868","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"arxiv_version","alias_value":"1503.01868v4","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.01868","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"pith_short_12","alias_value":"I2MFAQMMI63W","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"I2MFAQMMI63WQKAT","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"I2MFAQMM","created_at":"2026-05-18T12:29:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2015:I2MFAQMMI63WQKATYH4ZHY5SVM","target":"record","payload":{"canonical_record":{"source":{"id":"1503.01868","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-03-06T08:00:43Z","cross_cats_sorted":[],"title_canon_sha256":"152d6108e409d30a9a6d48f7f67e08b8523637dddb03c1344807a71b0f76e0ff","abstract_canon_sha256":"4f5b99d9a97e3288a323cda8d966517b9d4aa4a095628d834008d8bea11c04b0"},"schema_version":"1.0"},"canonical_sha256":"469850418c47b7682813c1f993e3b2ab21ff9ac1587b403a455544481713e7aa","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:08:21.333299Z","signature_b64":"UrxdNkU5gjudB0jJnwTBSypLHCxCVoXKGOXBUAK9o0rYKNtQGjCaFZd1adl2dHYOgK9rYRSG548XI32rDxeXCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"469850418c47b7682813c1f993e3b2ab21ff9ac1587b403a455544481713e7aa","last_reissued_at":"2026-05-18T01:08:21.332667Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:08:21.332667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1503.01868","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-18T01:08:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DrkFQ+nD4ovxsI1ADduMDef1ArwOa49pkmz5HNZkmnvGWU8dviO8nw670+AKUMB/Z4vHUXZgiM2ncvtR7mxqBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T01:37:01.909839Z"},"content_sha256":"ee90c1fb1e89d5ed30201f1025b4312c105647c22e834e9c2585b9021aa6f72b","schema_version":"1.0","event_id":"sha256:ee90c1fb1e89d5ed30201f1025b4312c105647c22e834e9c2585b9021aa6f72b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2015:I2MFAQMMI63WQKATYH4ZHY5SVM","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andrzej Cichocki, Can Yang, Deyu Meng, Jian Sun, Wenfei Cao, Yao Wang, Zongben Xu","submitted_at":"2015-03-06T08:00:43Z","abstract_excerpt":"Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling. Recently, motivated by compressive imaging, background subtraction from compressive measurements (BSCM) is becoming an active research task in video surveillance. In this paper, we propose a novel tensor-based robust PCA (TenRPCA) approach for BSCM by decomposing video frames into backgrounds with spatial-temporal correlations and foregrounds with spatio-temporal continuity in a tensor framework. In this approach, we"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.01868","kind":"arxiv","version":4},"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":"2026-05-18T01:08:21Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"IiicuOtT0IF4p2nhCcHsJhvlBe1iDNVxfrGdw02aIHdSSQqi3Ip1/NK/VaB+SqCCBjK2hdGvSau8HrclxgBKDQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-26T01:37:01.910518Z"},"content_sha256":"fe5aea7a4c18f4ff626af548082faa57831109b694e2147ae8e9b37a5cac5197","schema_version":"1.0","event_id":"sha256:fe5aea7a4c18f4ff626af548082faa57831109b694e2147ae8e9b37a5cac5197"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/bundle.json","state_url":"https://pith.science/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/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":"2026-05-26T01:37:01Z","links":{"resolver":"https://pith.science/pith/I2MFAQMMI63WQKATYH4ZHY5SVM","bundle":"https://pith.science/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/bundle.json","state":"https://pith.science/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I2MFAQMMI63WQKATYH4ZHY5SVM/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2015:I2MFAQMMI63WQKATYH4ZHY5SVM","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":"4f5b99d9a97e3288a323cda8d966517b9d4aa4a095628d834008d8bea11c04b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-03-06T08:00:43Z","title_canon_sha256":"152d6108e409d30a9a6d48f7f67e08b8523637dddb03c1344807a71b0f76e0ff"},"schema_version":"1.0","source":{"id":"1503.01868","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1503.01868","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"arxiv_version","alias_value":"1503.01868v4","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1503.01868","created_at":"2026-05-18T01:08:21Z"},{"alias_kind":"pith_short_12","alias_value":"I2MFAQMMI63W","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_16","alias_value":"I2MFAQMMI63WQKAT","created_at":"2026-05-18T12:29:25Z"},{"alias_kind":"pith_short_8","alias_value":"I2MFAQMM","created_at":"2026-05-18T12:29:25Z"}],"graph_snapshots":[{"event_id":"sha256:fe5aea7a4c18f4ff626af548082faa57831109b694e2147ae8e9b37a5cac5197","target":"graph","created_at":"2026-05-18T01:08:21Z","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":"Background subtraction has been a fundamental and widely studied task in video analysis, with a wide range of applications in video surveillance, teleconferencing and 3D modeling. Recently, motivated by compressive imaging, background subtraction from compressive measurements (BSCM) is becoming an active research task in video surveillance. In this paper, we propose a novel tensor-based robust PCA (TenRPCA) approach for BSCM by decomposing video frames into backgrounds with spatial-temporal correlations and foregrounds with spatio-temporal continuity in a tensor framework. In this approach, we","authors_text":"Andrzej Cichocki, Can Yang, Deyu Meng, Jian Sun, Wenfei Cao, Yao Wang, Zongben Xu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-03-06T08:00:43Z","title":"Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1503.01868","kind":"arxiv","version":4},"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:ee90c1fb1e89d5ed30201f1025b4312c105647c22e834e9c2585b9021aa6f72b","target":"record","created_at":"2026-05-18T01:08:21Z","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":"4f5b99d9a97e3288a323cda8d966517b9d4aa4a095628d834008d8bea11c04b0","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2015-03-06T08:00:43Z","title_canon_sha256":"152d6108e409d30a9a6d48f7f67e08b8523637dddb03c1344807a71b0f76e0ff"},"schema_version":"1.0","source":{"id":"1503.01868","kind":"arxiv","version":4}},"canonical_sha256":"469850418c47b7682813c1f993e3b2ab21ff9ac1587b403a455544481713e7aa","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"469850418c47b7682813c1f993e3b2ab21ff9ac1587b403a455544481713e7aa","first_computed_at":"2026-05-18T01:08:21.332667Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T01:08:21.332667Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UrxdNkU5gjudB0jJnwTBSypLHCxCVoXKGOXBUAK9o0rYKNtQGjCaFZd1adl2dHYOgK9rYRSG548XI32rDxeXCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T01:08:21.333299Z","signed_message":"canonical_sha256_bytes"},"source_id":"1503.01868","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ee90c1fb1e89d5ed30201f1025b4312c105647c22e834e9c2585b9021aa6f72b","sha256:fe5aea7a4c18f4ff626af548082faa57831109b694e2147ae8e9b37a5cac5197"],"state_sha256":"aa2563ebdcab80fb6349945982358b54e77a4706293412ffe464b0ff2f186248"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VSr9rEZHUxBXG2nZG9lx3As5FxM3XelOb1gDVaALRfbaXr+jMoffCk0ePNNruASMZMBAxjYQcrioU1q9Z3C3DA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-26T01:37:01.914239Z","bundle_sha256":"f5ddd9ccab9dc5bc6259088e5601451fc6e1ede0207f3959889edb812f4bec74"}}