{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:L2UVV33BOCI6XQVKGOYLMTFAFK","short_pith_number":"pith:L2UVV33B","canonical_record":{"source":{"id":"1810.10155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-24T02:37:08Z","cross_cats_sorted":[],"title_canon_sha256":"682bd4fd01731eedad662386aeac8679dc7524b4c94a79b96784e12bd8aed941","abstract_canon_sha256":"4066d71c8220809757cec5a3c1207fe42533c25b9698c61f60c9010df3aa03e3"},"schema_version":"1.0"},"canonical_sha256":"5ea95aef617091ebc2aa33b0b64ca02a8b776be6f49068d65c576805bb94a348","source":{"kind":"arxiv","id":"1810.10155","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.10155","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"1810.10155v1","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.10155","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2UVV33BOCI6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"L2UVV33BOCI6XQVK","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"L2UVV33B","created_at":"2026-05-18T12:32:33Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:L2UVV33BOCI6XQVKGOYLMTFAFK","target":"record","payload":{"canonical_record":{"source":{"id":"1810.10155","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-24T02:37:08Z","cross_cats_sorted":[],"title_canon_sha256":"682bd4fd01731eedad662386aeac8679dc7524b4c94a79b96784e12bd8aed941","abstract_canon_sha256":"4066d71c8220809757cec5a3c1207fe42533c25b9698c61f60c9010df3aa03e3"},"schema_version":"1.0"},"canonical_sha256":"5ea95aef617091ebc2aa33b0b64ca02a8b776be6f49068d65c576805bb94a348","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:02:24.109058Z","signature_b64":"lzFMiIAMSvBq6Sy87C2fufBdel0XEpTFzLlaYI7olCF8jW43ft4YpL7xUknsUQud8YF3CPGLam3AbZvmxFXbCw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5ea95aef617091ebc2aa33b0b64ca02a8b776be6f49068d65c576805bb94a348","last_reissued_at":"2026-05-18T00:02:24.108440Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:02:24.108440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1810.10155","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":"2026-05-18T00:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"olwlh9JGg7Pc5nKe6Th3osxdTqWtz1aXq1VS254mav/ncRctFomDIDnOmpMsiLtZueV/Tv1WnXFTf5NGZfAKCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T08:31:47.772766Z"},"content_sha256":"693a705d8827d1b35f3707e7e6e7f6f21068704bfa403ea6d10c70e23d48cc17","schema_version":"1.0","event_id":"sha256:693a705d8827d1b35f3707e7e6e7f6f21068704bfa403ea6d10c70e23d48cc17"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:L2UVV33BOCI6XQVKGOYLMTFAFK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Background Subtraction using Compressed Low-resolution Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Andy Song, Jing Zhang, Min Chen, Shivanthan A. C. Yhanandan","submitted_at":"2018-10-24T02:37:08Z","abstract_excerpt":"Image processing and recognition are an important part of the modern society, with applications in fields such as advanced artificial intelligence, smart assistants, and security surveillance. The essential first step involved in almost all the visual tasks is background subtraction with a static camera. Ensuring that this critical step is performed in the most efficient manner would therefore improve all aspects related to objects recognition and tracking, behavior comprehension, etc.. Although background subtraction method has been applied for many years, its application suffers from real-ti"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.10155","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":"2026-05-18T00:02:24Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dQaR1Kuo0iz5wR4/GKKTTQKwIDBBgMzQTszfkdnp8nm7R8Zt/EE5X4gLoVqRS7UBTs8HmUL6jqiA9IaIbKkKBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-01T08:31:47.773108Z"},"content_sha256":"e342c8a66c3bc87547c0a38b2b8bc21aaa87145c0da96b40178708e8015a6a50","schema_version":"1.0","event_id":"sha256:e342c8a66c3bc87547c0a38b2b8bc21aaa87145c0da96b40178708e8015a6a50"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/bundle.json","state_url":"https://pith.science/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/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":"2026-06-01T08:31:47Z","links":{"resolver":"https://pith.science/pith/L2UVV33BOCI6XQVKGOYLMTFAFK","bundle":"https://pith.science/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/bundle.json","state":"https://pith.science/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/L2UVV33BOCI6XQVKGOYLMTFAFK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:L2UVV33BOCI6XQVKGOYLMTFAFK","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":"4066d71c8220809757cec5a3c1207fe42533c25b9698c61f60c9010df3aa03e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-24T02:37:08Z","title_canon_sha256":"682bd4fd01731eedad662386aeac8679dc7524b4c94a79b96784e12bd8aed941"},"schema_version":"1.0","source":{"id":"1810.10155","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1810.10155","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"arxiv_version","alias_value":"1810.10155v1","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1810.10155","created_at":"2026-05-18T00:02:24Z"},{"alias_kind":"pith_short_12","alias_value":"L2UVV33BOCI6","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_16","alias_value":"L2UVV33BOCI6XQVK","created_at":"2026-05-18T12:32:33Z"},{"alias_kind":"pith_short_8","alias_value":"L2UVV33B","created_at":"2026-05-18T12:32:33Z"}],"graph_snapshots":[{"event_id":"sha256:e342c8a66c3bc87547c0a38b2b8bc21aaa87145c0da96b40178708e8015a6a50","target":"graph","created_at":"2026-05-18T00:02:24Z","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":"Image processing and recognition are an important part of the modern society, with applications in fields such as advanced artificial intelligence, smart assistants, and security surveillance. The essential first step involved in almost all the visual tasks is background subtraction with a static camera. Ensuring that this critical step is performed in the most efficient manner would therefore improve all aspects related to objects recognition and tracking, behavior comprehension, etc.. Although background subtraction method has been applied for many years, its application suffers from real-ti","authors_text":"Andy Song, Jing Zhang, Min Chen, Shivanthan A. C. Yhanandan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-24T02:37:08Z","title":"Background Subtraction using Compressed Low-resolution Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1810.10155","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":"sha256:693a705d8827d1b35f3707e7e6e7f6f21068704bfa403ea6d10c70e23d48cc17","target":"record","created_at":"2026-05-18T00:02:24Z","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":"4066d71c8220809757cec5a3c1207fe42533c25b9698c61f60c9010df3aa03e3","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2018-10-24T02:37:08Z","title_canon_sha256":"682bd4fd01731eedad662386aeac8679dc7524b4c94a79b96784e12bd8aed941"},"schema_version":"1.0","source":{"id":"1810.10155","kind":"arxiv","version":1}},"canonical_sha256":"5ea95aef617091ebc2aa33b0b64ca02a8b776be6f49068d65c576805bb94a348","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5ea95aef617091ebc2aa33b0b64ca02a8b776be6f49068d65c576805bb94a348","first_computed_at":"2026-05-18T00:02:24.108440Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:02:24.108440Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"lzFMiIAMSvBq6Sy87C2fufBdel0XEpTFzLlaYI7olCF8jW43ft4YpL7xUknsUQud8YF3CPGLam3AbZvmxFXbCw==","signature_status":"signed_v1","signed_at":"2026-05-18T00:02:24.109058Z","signed_message":"canonical_sha256_bytes"},"source_id":"1810.10155","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:693a705d8827d1b35f3707e7e6e7f6f21068704bfa403ea6d10c70e23d48cc17","sha256:e342c8a66c3bc87547c0a38b2b8bc21aaa87145c0da96b40178708e8015a6a50"],"state_sha256":"2cb43fae56446708cc77a85320103bd334bef6f0948cdb8143b0517f0044854e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ERHueHuGAF8hMd8RwXvdq5mF+CzSMuJcRGThuAzIu5wkmfIvkLwEYJr7dVKOAMb9UD+h9niaXZOqsy1ZNqeUCA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-01T08:31:47.775055Z","bundle_sha256":"959292809fe9fa0c36cd28129d0772adfa6bfb64d48a017dfefb1500092ac374"}}