{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2019:UJNOAD2BXETJYQCSRGPEH2I36T","short_pith_number":"pith:UJNOAD2B","canonical_record":{"source":{"id":"1906.01843","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-05T06:31:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e1eceff901664e05027c6fbf6ab556d8c47485169386be07c526d45a9b4ba7b9","abstract_canon_sha256":"b2af9a7ed3bd24058580262e3df0c65d8d63c693bc79e0daed258cb6dd55cfce"},"schema_version":"1.0"},"canonical_sha256":"a25ae00f41b9269c4052899e43e91bf4c03de5e7643bbb724d77929a420356be","source":{"kind":"arxiv","id":"1906.01843","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.01843","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"1906.01843v1","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.01843","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"UJNOAD2BXETJ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UJNOAD2BXETJYQCS","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UJNOAD2B","created_at":"2026-05-18T12:33:30Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2019:UJNOAD2BXETJYQCSRGPEH2I36T","target":"record","payload":{"canonical_record":{"source":{"id":"1906.01843","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-05T06:31:26Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"e1eceff901664e05027c6fbf6ab556d8c47485169386be07c526d45a9b4ba7b9","abstract_canon_sha256":"b2af9a7ed3bd24058580262e3df0c65d8d63c693bc79e0daed258cb6dd55cfce"},"schema_version":"1.0"},"canonical_sha256":"a25ae00f41b9269c4052899e43e91bf4c03de5e7643bbb724d77929a420356be","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:44:06.010267Z","signature_b64":"aL1F0mv4Suncskg3vz70sN8o2kx0N0oQjDXSIHUwx3pwPU727AFtyf2iFePFJjnqOC9ClgYaiewEUzCSuRNMBQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"a25ae00f41b9269c4052899e43e91bf4c03de5e7643bbb724d77929a420356be","last_reissued_at":"2026-05-17T23:44:06.009628Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:44:06.009628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1906.01843","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":"2026-05-17T23:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"NrkzguiyasjBuy23/3w+9bVyJRUa3mb8Rzxt6jVjnjldwgInF8cxhgGkJ2bNnITIHX+2AmGfaCt1/r6VkaP7BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:39:31.998936Z"},"content_sha256":"e92b95d6792abc8cc20b1dfc65b387af16776d3456f2673e6f325858052512ed","schema_version":"1.0","event_id":"sha256:e92b95d6792abc8cc20b1dfc65b387af16776d3456f2673e6f325858052512ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2019:UJNOAD2BXETJYQCSRGPEH2I36T","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Detecting Kissing Scenes in a Database of Hollywood Films","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CV","authors_text":"Amir Ziai","submitted_at":"2019-06-05T06:31:26Z","abstract_excerpt":"Detecting scene types in a movie can be very useful for application such as video editing, ratings assignment, and personalization. We propose a system for detecting kissing scenes in a movie. This system consists of two components. The first component is a binary classifier that predicts a binary label (i.e. kissing or not) given a features exctracted from both the still frames and audio waves of a one-second segment. The second component aggregates the binary labels for contiguous non-overlapping segments into a set of kissing scenes. We experimented with a variety of 2D and 3D convolutional"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.01843","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":"2026-05-17T23:44:06Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dbR63AS+NJYHs2Qq0fIgVSpbBhaZM87htxsVAOFJn96ZAPKu9+rSXELzSAY0pQumrspQ5mvNgHWPT2g+Jsr+Bg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-06-05T17:39:31.999273Z"},"content_sha256":"42a036590f0565abc0181522bc9c786599c641f920763661ea1e3a5fc720f914","schema_version":"1.0","event_id":"sha256:42a036590f0565abc0181522bc9c786599c641f920763661ea1e3a5fc720f914"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/UJNOAD2BXETJYQCSRGPEH2I36T/bundle.json","state_url":"https://pith.science/pith/UJNOAD2BXETJYQCSRGPEH2I36T/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/UJNOAD2BXETJYQCSRGPEH2I36T/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":"2026-06-05T17:39:32Z","links":{"resolver":"https://pith.science/pith/UJNOAD2BXETJYQCSRGPEH2I36T","bundle":"https://pith.science/pith/UJNOAD2BXETJYQCSRGPEH2I36T/bundle.json","state":"https://pith.science/pith/UJNOAD2BXETJYQCSRGPEH2I36T/state.json","well_known_bundle":"https://pith.science/.well-known/pith/UJNOAD2BXETJYQCSRGPEH2I36T/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2019:UJNOAD2BXETJYQCSRGPEH2I36T","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":"b2af9a7ed3bd24058580262e3df0c65d8d63c693bc79e0daed258cb6dd55cfce","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-05T06:31:26Z","title_canon_sha256":"e1eceff901664e05027c6fbf6ab556d8c47485169386be07c526d45a9b4ba7b9"},"schema_version":"1.0","source":{"id":"1906.01843","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1906.01843","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"arxiv_version","alias_value":"1906.01843v1","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1906.01843","created_at":"2026-05-17T23:44:06Z"},{"alias_kind":"pith_short_12","alias_value":"UJNOAD2BXETJ","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_16","alias_value":"UJNOAD2BXETJYQCS","created_at":"2026-05-18T12:33:30Z"},{"alias_kind":"pith_short_8","alias_value":"UJNOAD2B","created_at":"2026-05-18T12:33:30Z"}],"graph_snapshots":[{"event_id":"sha256:42a036590f0565abc0181522bc9c786599c641f920763661ea1e3a5fc720f914","target":"graph","created_at":"2026-05-17T23:44:06Z","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":"Detecting scene types in a movie can be very useful for application such as video editing, ratings assignment, and personalization. We propose a system for detecting kissing scenes in a movie. This system consists of two components. The first component is a binary classifier that predicts a binary label (i.e. kissing or not) given a features exctracted from both the still frames and audio waves of a one-second segment. The second component aggregates the binary labels for contiguous non-overlapping segments into a set of kissing scenes. We experimented with a variety of 2D and 3D convolutional","authors_text":"Amir Ziai","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-05T06:31:26Z","title":"Detecting Kissing Scenes in a Database of Hollywood Films"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1906.01843","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:e92b95d6792abc8cc20b1dfc65b387af16776d3456f2673e6f325858052512ed","target":"record","created_at":"2026-05-17T23:44:06Z","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":"b2af9a7ed3bd24058580262e3df0c65d8d63c693bc79e0daed258cb6dd55cfce","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2019-06-05T06:31:26Z","title_canon_sha256":"e1eceff901664e05027c6fbf6ab556d8c47485169386be07c526d45a9b4ba7b9"},"schema_version":"1.0","source":{"id":"1906.01843","kind":"arxiv","version":1}},"canonical_sha256":"a25ae00f41b9269c4052899e43e91bf4c03de5e7643bbb724d77929a420356be","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"a25ae00f41b9269c4052899e43e91bf4c03de5e7643bbb724d77929a420356be","first_computed_at":"2026-05-17T23:44:06.009628Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:44:06.009628Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"aL1F0mv4Suncskg3vz70sN8o2kx0N0oQjDXSIHUwx3pwPU727AFtyf2iFePFJjnqOC9ClgYaiewEUzCSuRNMBQ==","signature_status":"signed_v1","signed_at":"2026-05-17T23:44:06.010267Z","signed_message":"canonical_sha256_bytes"},"source_id":"1906.01843","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e92b95d6792abc8cc20b1dfc65b387af16776d3456f2673e6f325858052512ed","sha256:42a036590f0565abc0181522bc9c786599c641f920763661ea1e3a5fc720f914"],"state_sha256":"29dbff61373260ec80d88f85de276a6ec30c085a35c2003af7b7ca838d881fbc"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LBqDgt6+uaEieRYkINNrJdnXXoe1ZCPjgJ4BZ837TFlH3tM0D32lGZSg59R6PAgNPRTUXM4peLhE+U1vkwDAAQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-06-05T17:39:32.001165Z","bundle_sha256":"d16510a4d4a13f8899b8842e94aebb5ba0d6af483cd956b70bb556f9c399d77b"}}