{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:I33UTDJMAD3OA6LBET74JBAEWU","short_pith_number":"pith:I33UTDJM","canonical_record":{"source":{"id":"2410.22623","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T01:02:20Z","cross_cats_sorted":[],"title_canon_sha256":"6e6fd70a8644250b3e7ccd28329368654bc41110e676b7dbb0b48c73ea78037a","abstract_canon_sha256":"a3fa8d90562107a92139b38260e13d05d9be785a647d11d1d4139ac9e31c733a"},"schema_version":"1.0"},"canonical_sha256":"46f7498d2c00f6e0796124ffc48404b52a664ef2139f62bd135ac0c7991f1872","source":{"kind":"arxiv","id":"2410.22623","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22623","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22623v2","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22623","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_12","alias_value":"I33UTDJMAD3O","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_16","alias_value":"I33UTDJMAD3OA6LB","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_8","alias_value":"I33UTDJM","created_at":"2026-07-05T09:44:36Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:I33UTDJMAD3OA6LBET74JBAEWU","target":"record","payload":{"canonical_record":{"source":{"id":"2410.22623","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T01:02:20Z","cross_cats_sorted":[],"title_canon_sha256":"6e6fd70a8644250b3e7ccd28329368654bc41110e676b7dbb0b48c73ea78037a","abstract_canon_sha256":"a3fa8d90562107a92139b38260e13d05d9be785a647d11d1d4139ac9e31c733a"},"schema_version":"1.0"},"canonical_sha256":"46f7498d2c00f6e0796124ffc48404b52a664ef2139f62bd135ac0c7991f1872","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T09:44:36.426894Z","signature_b64":"rGfXrsC74KIV3cPLzOJwDlExQ513WCjrUk+Guovt569j9H7AbeY1XRuN1a3+NME1veL9hj259C1XCItQUTNAAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"46f7498d2c00f6e0796124ffc48404b52a664ef2139f62bd135ac0c7991f1872","last_reissued_at":"2026-07-05T09:44:36.426404Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T09:44:36.426404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2410.22623","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T09:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"/Jj5BH5vx3SVwrm+p4LJwDMG/K2IjDSa8caXpc88KzBkoqTnavuER6JZKt1W0POUiiiooTLQSVBVQLeGYzZgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:28:24.335459Z"},"content_sha256":"928621d47715179286eb309ebce09661a38573e6878153dd6209a824d3f6e6e5","schema_version":"1.0","event_id":"sha256:928621d47715179286eb309ebce09661a38573e6878153dd6209a824d3f6e6e5"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:I33UTDJMAD3OA6LBET74JBAEWU","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mohsen Imani, Ryozo Masukawa, Sanggeon Yun, Yoshiki Yamaguchi","submitted_at":"2024-10-30T01:02:20Z","abstract_excerpt":"Video crime detection is a significant application of computer vision and artificial intelligence. However, existing datasets primarily focus on detecting severe crimes by analyzing entire video clips, often neglecting the precursor activities (i.e., privacy violations) that could potentially prevent these crimes. To address this limitation, we present PV-VTT (Privacy Violation Video To Text), a unique multimodal dataset aimed at identifying privacy violations. PV-VTT provides detailed annotations for both video and text in scenarios. To ensure the privacy of individuals in the videos, we only"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22623","kind":"arxiv","version":2},"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/2410.22623/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":"2026-07-05T09:44:36Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"jiYLaaYJgOV3R114arLYIw0Tbi1EYaMXiUuV/szvCIQW2SczUi2i2fPbVpOQyZrNf8k6gkxHTvbosc7m8/35Dw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-13T13:28:24.349037Z"},"content_sha256":"0bf9b264eb682ca6762343cd375c73e93ce7d6e4c3963b4edfe98dcf0592bd3b","schema_version":"1.0","event_id":"sha256:0bf9b264eb682ca6762343cd375c73e93ce7d6e4c3963b4edfe98dcf0592bd3b"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/I33UTDJMAD3OA6LBET74JBAEWU/bundle.json","state_url":"https://pith.science/pith/I33UTDJMAD3OA6LBET74JBAEWU/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/I33UTDJMAD3OA6LBET74JBAEWU/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":"2026-08-13T13:28:24Z","links":{"resolver":"https://pith.science/pith/I33UTDJMAD3OA6LBET74JBAEWU","bundle":"https://pith.science/pith/I33UTDJMAD3OA6LBET74JBAEWU/bundle.json","state":"https://pith.science/pith/I33UTDJMAD3OA6LBET74JBAEWU/state.json","well_known_bundle":"https://pith.science/.well-known/pith/I33UTDJMAD3OA6LBET74JBAEWU/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:I33UTDJMAD3OA6LBET74JBAEWU","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":"a3fa8d90562107a92139b38260e13d05d9be785a647d11d1d4139ac9e31c733a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T01:02:20Z","title_canon_sha256":"6e6fd70a8644250b3e7ccd28329368654bc41110e676b7dbb0b48c73ea78037a"},"schema_version":"1.0","source":{"id":"2410.22623","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2410.22623","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"arxiv_version","alias_value":"2410.22623v2","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2410.22623","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_12","alias_value":"I33UTDJMAD3O","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_16","alias_value":"I33UTDJMAD3OA6LB","created_at":"2026-07-05T09:44:36Z"},{"alias_kind":"pith_short_8","alias_value":"I33UTDJM","created_at":"2026-07-05T09:44:36Z"}],"graph_snapshots":[{"event_id":"sha256:0bf9b264eb682ca6762343cd375c73e93ce7d6e4c3963b4edfe98dcf0592bd3b","target":"graph","created_at":"2026-07-05T09:44:36Z","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/2410.22623/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Video crime detection is a significant application of computer vision and artificial intelligence. However, existing datasets primarily focus on detecting severe crimes by analyzing entire video clips, often neglecting the precursor activities (i.e., privacy violations) that could potentially prevent these crimes. To address this limitation, we present PV-VTT (Privacy Violation Video To Text), a unique multimodal dataset aimed at identifying privacy violations. PV-VTT provides detailed annotations for both video and text in scenarios. To ensure the privacy of individuals in the videos, we only","authors_text":"Mohsen Imani, Ryozo Masukawa, Sanggeon Yun, Yoshiki Yamaguchi","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T01:02:20Z","title":"PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2410.22623","kind":"arxiv","version":2},"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":"sha256:928621d47715179286eb309ebce09661a38573e6878153dd6209a824d3f6e6e5","target":"record","created_at":"2026-07-05T09:44:36Z","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":"a3fa8d90562107a92139b38260e13d05d9be785a647d11d1d4139ac9e31c733a","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-10-30T01:02:20Z","title_canon_sha256":"6e6fd70a8644250b3e7ccd28329368654bc41110e676b7dbb0b48c73ea78037a"},"schema_version":"1.0","source":{"id":"2410.22623","kind":"arxiv","version":2}},"canonical_sha256":"46f7498d2c00f6e0796124ffc48404b52a664ef2139f62bd135ac0c7991f1872","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"46f7498d2c00f6e0796124ffc48404b52a664ef2139f62bd135ac0c7991f1872","first_computed_at":"2026-07-05T09:44:36.426404Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:44:36.426404Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"rGfXrsC74KIV3cPLzOJwDlExQ513WCjrUk+Guovt569j9H7AbeY1XRuN1a3+NME1veL9hj259C1XCItQUTNAAQ==","signature_status":"signed_v1","signed_at":"2026-07-05T09:44:36.426894Z","signed_message":"canonical_sha256_bytes"},"source_id":"2410.22623","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:928621d47715179286eb309ebce09661a38573e6878153dd6209a824d3f6e6e5","sha256:0bf9b264eb682ca6762343cd375c73e93ce7d6e4c3963b4edfe98dcf0592bd3b"],"state_sha256":"499ba3320c393c4726cc03a53b89a4692c5209fc84c56509da032b8245e1acdb"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"O4Pzu0UzkNLDROWOTxERINTCpG8alCUx9PfTDbA6fnH0WEbCyiE69XwHoXRxEsuQZGBVWT408mc50W6Jl3RlAg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-13T13:28:24.435431Z","bundle_sha256":"b8b2b1f2f3eb7efe61740bd1dbc47a2dba6f7a9cfa254d026a875a1137ac7010"}}