{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2017:ZMLNXC2CBG5HZBJ5Z66FCOH2KN","short_pith_number":"pith:ZMLNXC2C","canonical_record":{"source":{"id":"1710.10330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T20:56:35Z","cross_cats_sorted":[],"title_canon_sha256":"2eb0e0fa0b42dd407c2e6a93724efad094b28902adbef4538519ee1b57dad483","abstract_canon_sha256":"c6474a12adb291c7b969a68e47adb5d9fbc6582a93b98a8c0b1bfee5692301ae"},"schema_version":"1.0"},"canonical_sha256":"cb16db8b4209ba7c853dcfbc5138fa5375333d19ff752058aa55fc674bd19488","source":{"kind":"arxiv","id":"1710.10330","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.10330","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"arxiv_version","alias_value":"1710.10330v1","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.10330","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"pith_short_12","alias_value":"ZMLNXC2CBG5H","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZMLNXC2CBG5HZBJ5","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZMLNXC2C","created_at":"2026-05-18T12:31:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2017:ZMLNXC2CBG5HZBJ5Z66FCOH2KN","target":"record","payload":{"canonical_record":{"source":{"id":"1710.10330","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T20:56:35Z","cross_cats_sorted":[],"title_canon_sha256":"2eb0e0fa0b42dd407c2e6a93724efad094b28902adbef4538519ee1b57dad483","abstract_canon_sha256":"c6474a12adb291c7b969a68e47adb5d9fbc6582a93b98a8c0b1bfee5692301ae"},"schema_version":"1.0"},"canonical_sha256":"cb16db8b4209ba7c853dcfbc5138fa5375333d19ff752058aa55fc674bd19488","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:31:49.858642Z","signature_b64":"RjjZNWiSVCsk1/xJLPDuZFfUIATYbyBZ2TJcMqFfDpt4tODYxcgULq7hxFC2zuCkTdAkZbr+VEwiZrFYtkzMBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cb16db8b4209ba7c853dcfbc5138fa5375333d19ff752058aa55fc674bd19488","last_reissued_at":"2026-05-18T00:31:49.858045Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:31:49.858045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1710.10330","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":"2026-05-18T00:31:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"s5X3oSfqiCHG/O1Y43GXi7J390E9wXN0D4Ny3RbJgIPRvEadivtLdFxy3Djbz2uV59iSbrykeL/aZHQEo5YtCQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T17:25:24.763849Z"},"content_sha256":"3fb8d9401cd194cde37b4b55652a71b0504797ce24adfc8d3323d35d546172ed","schema_version":"1.0","event_id":"sha256:3fb8d9401cd194cde37b4b55652a71b0504797ce24adfc8d3323d35d546172ed"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2017:ZMLNXC2CBG5HZBJ5Z66FCOH2KN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Multi-modal Aggregation for Video Classification","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Chen Chen, Xiaowei Zhao, Yang Liu","submitted_at":"2017-10-27T20:56:35Z","abstract_excerpt":"In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place. We focused on a variety of modalities that cover visual, motion and audio. Also, we visualized the aggregation process to better understand how each modality takes effect. Among the extracted modalities, we found Temporal-Spatial features calculated by 3D convolution quite promising that greatly improved the performance. We attained the official metric mAP 0.8741 on the testing set with the ensemble model."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.10330","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":"2026-05-18T00:31:49Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"QnO1hFYUrmLCXWhEeMGzok6XZ2nr0vzGA0SJ9+sGIxaWb5SqOlkx7r01UD2VfvRHe812LgjZoSQn5qdAyHIvBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T17:25:24.764539Z"},"content_sha256":"0e192a33c282bb23ae0f540544e6093404df80fecb6010b6fb240431024d984f","schema_version":"1.0","event_id":"sha256:0e192a33c282bb23ae0f540544e6093404df80fecb6010b6fb240431024d984f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/bundle.json","state_url":"https://pith.science/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/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":"2026-05-28T17:25:24Z","links":{"resolver":"https://pith.science/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN","bundle":"https://pith.science/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/bundle.json","state":"https://pith.science/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZMLNXC2CBG5HZBJ5Z66FCOH2KN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2017:ZMLNXC2CBG5HZBJ5Z66FCOH2KN","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":"c6474a12adb291c7b969a68e47adb5d9fbc6582a93b98a8c0b1bfee5692301ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T20:56:35Z","title_canon_sha256":"2eb0e0fa0b42dd407c2e6a93724efad094b28902adbef4538519ee1b57dad483"},"schema_version":"1.0","source":{"id":"1710.10330","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1710.10330","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"arxiv_version","alias_value":"1710.10330v1","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1710.10330","created_at":"2026-05-18T00:31:49Z"},{"alias_kind":"pith_short_12","alias_value":"ZMLNXC2CBG5H","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_16","alias_value":"ZMLNXC2CBG5HZBJ5","created_at":"2026-05-18T12:31:59Z"},{"alias_kind":"pith_short_8","alias_value":"ZMLNXC2C","created_at":"2026-05-18T12:31:59Z"}],"graph_snapshots":[{"event_id":"sha256:0e192a33c282bb23ae0f540544e6093404df80fecb6010b6fb240431024d984f","target":"graph","created_at":"2026-05-18T00:31:49Z","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":"In this paper, we present a solution to Large-Scale Video Classification Challenge (LSVC2017) [1] that ranked the 1st place. We focused on a variety of modalities that cover visual, motion and audio. Also, we visualized the aggregation process to better understand how each modality takes effect. Among the extracted modalities, we found Temporal-Spatial features calculated by 3D convolution quite promising that greatly improved the performance. We attained the official metric mAP 0.8741 on the testing set with the ensemble model.","authors_text":"Chen Chen, Xiaowei Zhao, Yang Liu","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T20:56:35Z","title":"Multi-modal Aggregation for Video Classification"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1710.10330","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":"sha256:3fb8d9401cd194cde37b4b55652a71b0504797ce24adfc8d3323d35d546172ed","target":"record","created_at":"2026-05-18T00:31:49Z","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":"c6474a12adb291c7b969a68e47adb5d9fbc6582a93b98a8c0b1bfee5692301ae","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2017-10-27T20:56:35Z","title_canon_sha256":"2eb0e0fa0b42dd407c2e6a93724efad094b28902adbef4538519ee1b57dad483"},"schema_version":"1.0","source":{"id":"1710.10330","kind":"arxiv","version":1}},"canonical_sha256":"cb16db8b4209ba7c853dcfbc5138fa5375333d19ff752058aa55fc674bd19488","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb16db8b4209ba7c853dcfbc5138fa5375333d19ff752058aa55fc674bd19488","first_computed_at":"2026-05-18T00:31:49.858045Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:31:49.858045Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"RjjZNWiSVCsk1/xJLPDuZFfUIATYbyBZ2TJcMqFfDpt4tODYxcgULq7hxFC2zuCkTdAkZbr+VEwiZrFYtkzMBg==","signature_status":"signed_v1","signed_at":"2026-05-18T00:31:49.858642Z","signed_message":"canonical_sha256_bytes"},"source_id":"1710.10330","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:3fb8d9401cd194cde37b4b55652a71b0504797ce24adfc8d3323d35d546172ed","sha256:0e192a33c282bb23ae0f540544e6093404df80fecb6010b6fb240431024d984f"],"state_sha256":"234bc42b8fb64bc97d2d2cc9a11ba4b6ea0ee913dfa542829833aa7b202bf444"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"TnxyDBci5D7KblxrCwr1lxsnNcRuN8QVEv6mM+v5Mhw3CPlCMWfGj3HpbPTOAvO286saevJ1TJuwmfDHpNicDw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T17:25:24.768147Z","bundle_sha256":"5bb7fd6cec44cfa4e078047870659449fd73ff2ab7565c23168f1adc996eef4e"}}